Articles citing this paper
Predicting the future of plant breeding: complementing empirical evaluation with genetic prediction
Mark Cooper A D , Carlos D. Messina A , Dean Podlich B , L. Radu Totir B , Andrew Baumgarten B , Neil J. Hausmann B , Deanne Wright B and Geoffrey Graham C
+ Author Affiliations
- Author Affiliations
A DuPont-Pioneer, 7250 NW 62nd Avenue, PO Box 552, Johnston, IA 50131, USA.
B DuPont-Pioneer, 8305 NW 62nd Avenue, PO Box 7060, Johnston, IA 50131, USA.
C DuPont-Pioneer, 7300 NW 62nd Avenue, PO Box 1004, Johnston, IA 50131, USA.
D Corresponding author. Email: mark.cooper@pioneer.com
Crop and Pasture Science 65(4) 311-336 https://doi.org/10.1071/CP14007
Submitted: 4 January 2014 Accepted: 27 February 2014 Published: 23 April 2014
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Plant genetic resources for food and agriculture: opportunities and challenges emerging from the science and information technology revolution
Halewood Michael,
Chiurugwi Tinashe,
Sackville Hamilton Ruaraidh,
Kurtz Brad,
Marden Emily,
Welch Eric,
Michiels Frank,
Mozafari Javad,
Sabran Muhamad,
Patron Nicola,
Kersey Paul,
Bastow Ruth,
Dorius Shawn,
Dias Sonia,
McCouch Susan, Powell Wayne
New Phytologist. 2018 217(4). p.1407
Crop Science (2019)
Retrospective study in US commercial sorghum breeding: I. Genetic gain in relation to relative maturity
Mayor Laura,
Demarco Paula,
Lira Sara,
Fang Yinan,
Abadie Tabare,
Gambin Brenda L.,
Hammer Graeme,
Ciampitti Ignacio,
Cooper Mark, Messina Carlos
Crop Science. 2023 63(2). p.501
Genetic Male Sterility (Ms44) Increases Maize Grain Yield
Loussaert Dale,
DeBruin Jason,
Pablo San Martin Juan,
Schussler Jeff,
Pape Ryan,
Clapp Joshua,
Mongar Nicholas,
Fox Timothy,
Albertsen Marc,
Trimnell Mary,
Collinson Sarah, Shen Bo
Crop Science. 2017 57(5). p.2718
Genomic analysis of maize lines introduced in the early stages of a breeding programme
Cantelmo Narjara Fonseca,
Von Pinho Renzo Garcia,
Balestre Marcio, Lübberstedt T.
Plant Breeding. 2017 136(6). p.845
STUDY OF THE GENETIC DIVERSITY OF CROPS IN THE ERA OF MODERN PLANT BREEDING
KHALID MN, AMJAD I
Bulletin of Biological and Allied Sciences Research. 2018 2018(1). p.14
A retrospective analysis of historical data of multi‐environment trials for dry bean (Phaseolus vulgaris L.) in Michigan
Volpato Leonardo,
Wright Evan M.,
Bales Scott, Gomez Francisco E.
Crop Science. 2024 64(2). p.631
Training Population Optimization for Genomic Selection
Berro Inés,
Lado Bettina,
Nalin Rafael S.,
Quincke Martin, Gutiérrez Lucía
The Plant Genome. 2019 12(3).
Calibration of a crop growth model in APSIM for 15 publicly available corn hybrids in North America
Winn Cassandra Anne,
Archontoulis Sotirios, Edwards Jode
Crop Science. 2023 63(2). p.511
On the dynamic determinants of reproductive failure under drought in maize
Messina Carlos D,
Hammer Graeme L,
McLean Greg,
Cooper Mark,
van Oosterom Erik J,
Tardieu Francois,
Chapman Scott C,
Doherty Alastair, Gho Carla
in silico Plants. 2019 1(1).
Predictive breeding for maize: Making use of molecular phenotypes, machine learning, and physiological crop models
Washburn Jacob D.,
Burch Merritt B., Franco José A. Valdes
Crop Science. 2020 60(2). p.622
Plant Genotype to Phenotype Prediction Using Machine Learning
Danilevicz Monica F.,
Gill Mitchell,
Anderson Robyn,
Batley Jacqueline,
Bennamoun Mohammed,
Bayer Philipp E., Edwards David
Frontiers in Genetics. 2022 13
Enviromic prediction is useful to define the limits of climate adaptation: A case study of common bean in Brazil
Heinemann Alexandre Bryan,
Costa-Neto Germano,
Fritsche-Neto Roberto,
da Matta David Henriques, Fernandes Igor Kuivjogi
Field Crops Research. 2022 286 p.108628
Cross‐validation of stagewise mixed‐model analysis of Swedish variety trials with winter wheat and spring barley
Buntaran Harimurti,
Piepho Hans‐Peter,
Schmidt Paul,
Rydén Jesper,
Halling Magnus, Forkman Johannes
Crop Science. 2020 60(5). p.2221
Use of Crop Growth Models with Whole‐Genome Prediction: Application to a Maize Multienvironment Trial
Cooper Mark,
Technow Frank,
Messina Carlos,
Gho Carla, Totir L. Radu
Crop Science. 2016 56(5). p.2141
Crop traits and production under drought
Vadez Vincent,
Grondin Alexandre,
Chenu Karine,
Henry Amelia,
Laplaze Laurent,
Millet Emilie J., Carminati Andrea
Nature Reviews Earth & Environment. 2024 5(3). p.211
Adding genome‐wide genotypic information to a tobacco (Nicotiana tabacum) breeding programme
Carvalho Bruna Line,
Lewis Ramsey,
Bruzi Adriano Teodoro,
Pádua José Maria Villela, Patto Ramalho Magno Antonio
Plant Breeding. 2022 141(1). p.133
Smart breeding driven by big data, artificial intelligence, and integrated genomic-enviromic prediction
Xu Yunbi,
Zhang Xingping,
Li Huihui,
Zheng Hongjian,
Zhang Jianan,
Olsen Michael S.,
Varshney Rajeev K.,
Prasanna Boddupalli M., Qian Qian
Molecular Plant. 2022 15(11). p.1664
Towards evolutionary predictions: Current promises and challenges
Wortel Meike T.,
Agashe Deepa,
Bailey Susan F.,
Bank Claudia,
Bisschop Karen,
Blankers Thomas,
Cairns Johannes,
Colizzi Enrico Sandro,
Cusseddu Davide,
Desai Michael M.,
van Dijk Bram,
Egas Martijn,
Ellers Jacintha,
Groot Astrid T.,
Heckel David G.,
Johnson Marcelle L.,
Kraaijeveld Ken,
Krug Joachim,
Laan Liedewij,
Lässig Michael,
Lind Peter A.,
Meijer Jeroen,
Noble Luke M.,
Okasha Samir,
Rainey Paul B.,
Rozen Daniel E.,
Shitut Shraddha,
Tans Sander J.,
Tenaillon Olivier,
Teotónio Henrique,
de Visser J. Arjan G. M.,
Visser Marcel E.,
Vroomans Renske M. A.,
Werner Gijsbert D. A.,
Wertheim Bregje, Pennings Pleuni S.
Evolutionary Applications. 2023 16(1). p.3
Grain yield, evapotranspiration, and water-use efficiency of maize hybrids differing in drought tolerance
Hao Baozhen,
Xue Qingwu,
Marek Thomas H.,
Jessup Kirk E.,
Becker Jacob D.,
Hou Xiaobo,
Xu Wenwei,
Bynum Edsel D.,
Bean Brent W.,
Colaizzi Paul D., Howell Terry A.
Irrigation Science. 2019 37(1). p.25
CGIAR modeling approaches for resource‐constrained scenarios: I. Accelerating crop breeding for a changing climate
Ramirez‐Villegas Julian,
Molero Milan Anabel,
Alexandrov Nickolai,
Asseng Senthold,
Challinor Andrew J.,
Crossa Jose,
van Eeuwijk Fred,
Ghanem Michel Edmond,
Grenier Cecile,
Heinemann Alexandre B.,
Wang Jiankang,
Juliana Philomin,
Kehel Zakaria,
Kholova Jana,
Koo Jawoo,
Pequeno Diego,
Quiroz Roberto,
Rebolledo Maria C.,
Sukumaran Sivakumar,
Vadez Vincent,
White Jeffrey W., Reynolds Matthew
Crop Science. 2020 60(2). p.547
Hybrid breeding of rice via genomic selection
Cui Yanru,
Li Ruidong,
Li Guangwei,
Zhang Fan,
Zhu Tiantian,
Zhang Qifa,
Ali Jauhar,
Li Zhikang, Xu Shizhong
Plant Biotechnology Journal. 2020 18(1). p.57
Strategies to Assure Optimal Trade-Offs Among Competing Objectives for the Genetic Improvement of Soybean
Ramasubramanian Vishnu, Beavis William D.
Frontiers in Genetics. 2021 12
Integrating modelling and phenotyping approaches to identify and screen complex traits: transpiration efficiency in cereals
Chenu K,
Van Oosterom E J,
McLean G,
Deifel K S,
Fletcher A,
Geetika G,
Tirfessa A,
Mace E S,
Jordan D R,
Sulman R, Hammer G L
Journal of Experimental Botany. 2018 69(13). p.3181
From genes to policy: mission-oriented governance of plant-breeding research and technologies
Gerullis Maria,
Pieruschka Roland,
Fahrner Sven,
Hartl Lorenz,
Schurr Ulrich, Heckelei Thomas
Frontiers in Plant Science. 2023 14
Combining Crop Growth Modeling and Statistical Genetic Modeling to Evaluate Phenotyping Strategies
Bustos-Korts Daniela,
Boer Martin P.,
Malosetti Marcos,
Chapman Scott,
Chenu Karine,
Zheng Bangyou, van Eeuwijk Fred A.
Frontiers in Plant Science. 2019 10
Reproductive resilience but not root architecture underpins yield improvement under drought in maize
Messina Carlos,
McDonald Dan,
Poffenbarger Hanna,
Clark Randy,
Salinas Andrea,
Fang Yinan,
Gho Carla,
Tang Tom,
Graham Geoff,
Hammer Graeme L,
Cooper Mark, Rebetzke Greg
Journal of Experimental Botany. 2021 72(14). p.5235
Climate and agronomy, not genetics, underpin recent maize yield gains in favorable environments
Rizzo Gonzalo,
Monzon Juan Pablo,
Tenorio Fatima A.,
Howard Réka,
Cassman Kenneth G., Grassini Patricio
Proceedings of the National Academy of Sciences. 2022 119(4).
Advances in Genetic Enhancement of Early and Extra-Early Maize for Sub-Saharan Africa (2017)
Engineering the future cereal crops with big biological data: toward an intelligence-driven breeding by design
Liu Lei,
Zhan Jimin, Yan Jianbing
Journal of Genetics and Genomics. 2024
Use of F2 Bulks in Training Sets for Genomic Prediction of Combining Ability and Hybrid Performance
Technow Frank
G3 Genes|Genomes|Genetics. 2019 9(5). p.1557
Dissecting the critical stage in the response of maize kernel set to individual and combined drought and heat stress around flowering
Liu Xiwei,
Wang Xinglong,
Wang Xingya,
Gao Jia,
Luo Ning,
Meng Qingfeng, Wang Pu
Environmental and Experimental Botany. 2020 179 p.104213
Genetic Diversity and Erosion in Plants (2015)
Tackling G × E × M interactions to close on-farm yield-gaps: creating novel pathways for crop improvement by predicting contributions of genetics and management to crop productivity
Cooper Mark,
Voss-Fels Kai P.,
Messina Carlos D.,
Tang Tom, Hammer Graeme L.
Theoretical and Applied Genetics. 2021 134(6). p.1625
Integration of Genomics with Crop Modeling for Predicting Rice Days to Flowering: A Multi-Model Analysis
Yang Yubin,
Wilson Lloyd T.,
Li Tao,
Paleari Livia,
Confalonieri Roberto,
Zhu Yan,
Tang Liang,
Qiu Xiaolei,
Tao Fulu,
Chen Yi,
Hoogenboom Gerrit,
Boote Kenneth J.,
Gao Yujing,
Onogi Akio,
Nakagawa Hiroshi,
Yoshida Hiroe,
Yabe Shiori,
Dingkuhn Michael,
Lafarge Tanguy,
Hasegawa Toshihiro, Wang Jing
Field Crops Research. 2022 276 p.108394
Recurrent genomic selection for wheat grain fructans
Veenstra Lynn D.,
Poland Jesse,
Jannink Jean‐Luc, Sorrells Mark E.
Crop Science. 2020 60(3). p.1499
Contribution of Crop Models to Adaptation in Wheat
Chenu Karine,
Porter John Roy,
Martre Pierre,
Basso Bruno,
Chapman Scott Cameron,
Ewert Frank,
Bindi Marco, Asseng Senthold
Trends in Plant Science. 2017 22(6). p.472
Genomic Prediction of Agronomic Traits in Common Bean (Phaseolus vulgaris L.) Under Environmental Stress
Keller Beat,
Ariza-Suarez Daniel,
de la Hoz Juan,
Aparicio Johan Steven,
Portilla-Benavides Ana Elisabeth,
Buendia Hector Fabio,
Mayor Victor Manuel,
Studer Bruno, Raatz Bodo
Frontiers in Plant Science. 2020 11
Limited‐Transpiration Trait May Increase Maize Drought Tolerance in the US Corn Belt
Messina Carlos D.,
Sinclair Thomas R.,
Hammer Graeme L.,
Curan Dian,
Thompson Jason,
Oler Zac,
Gho Carla, Cooper Mark
Agronomy Journal. 2015 107(6). p.1978
Reinventing quantitative genetics for plant breeding: something old, something new, something borrowed, something BLUE
Bernardo Rex
Heredity. 2020 125(6). p.375
Two decades of InterDrought conferences: are we bridging the genotype-to-phenotype gap?
Tuberosa R.,
Turner N. C., Cakir M.
Journal of Experimental Botany. 2014 65(21). p.6137
What Should Students in Plant Breeding Know About the Statistical Aspects of Genotype × Environment Interactions?
van Eeuwijk Fred A.,
Bustos‐Korts Daniela V., Malosetti Marcos
Crop Science. 2016 56(5). p.2119
Application of the APSIM model to exploit G × E × M interactions for maize improvement in Ethiopia
Seyoum Solomon,
Rachaputi Rao,
Chauhan Yash,
Prasanna Boddupalli, Fekybelu Solomon
Field Crops Research. 2018 217 p.113
The importance of dominance and genotype-by-environment interactions on grain yield variation in a large-scale public cooperative maize experiment
Rogers Anna R,
Dunne Jeffrey C,
Romay Cinta,
Bohn Martin,
Buckler Edward S,
Ciampitti Ignacio A,
Edwards Jode,
Ertl David,
Flint-Garcia Sherry,
Gore Michael A,
Graham Christopher,
Hirsch Candice N,
Hood Elizabeth,
Hooker David C,
Knoll Joseph,
Lee Elizabeth C,
Lorenz Aaron,
Lynch Jonathan P,
McKay John,
Moose Stephen P,
Murray Seth C,
Nelson Rebecca,
Rocheford Torbert,
Schnable James C,
Schnable Patrick S,
Sekhon Rajandeep,
Singh Maninder,
Smith Margaret,
Springer Nathan,
Thelen Kurt,
Thomison Peter,
Thompson Addie,
Tuinstra Mitch,
Wallace Jason,
Wisser Randall J,
Xu Wenwei,
Gilmour A R,
Kaeppler Shawn M,
De Leon Natalia,
Holland James B, Akhunov E
G3 Genes|Genomes|Genetics. 2021 11(2).
Spatial Layout of Multi-Environment Test Sites: A Case Study of Maize in Jilin Province
Zhao Zuliang,
Zhe Liu,
Zhang Xiaodong,
Zan Xuli,
Yao Xiaochuang,
Wang Sijia,
Ye Sijing,
Li Shaoming, Zhu Dehai
Sustainability. 2018 10(5). p.1424
Genetic and genomic diversity in the sorghum gene bank collection of Uganda
Chakrabarty Subhadra,
Mufumbo Raphael,
Windpassinger Steffen,
Jordan David,
Mace Emma,
Snowdon Rod J., Hathorn Adrian
BMC Plant Biology. 2022 22(1).
Accounting for Genotype-by-Environment Interactions and Residual Genetic Variation in Genomic Selection for Water-Soluble Carbohydrate Concentration in Wheat
Ovenden Ben,
Milgate Andrew,
Wade Len J,
Rebetzke Greg J, Holland James B
G3 Genes|Genomes|Genetics. 2018 8(6). p.1909
Physiological mechanisms underlying genetic improvement in sink establishment and plant‐to‐plant variability in maize
Gonzalez V. H.,
MacKenzie J. O.,
Tollenaar M., Lee E. A.
Crop Science. 2022 62(6). p.2396
Heliaphen, an Outdoor High-Throughput Phenotyping Platform for Genetic Studies and Crop Modeling
Gosseau Florie,
Blanchet Nicolas,
Varès Didier,
Burger Philippe,
Campergue Didier,
Colombet Céline,
Gody Louise,
Liévin Jean-François,
Mangin Brigitte,
Tison Gilles,
Vincourt Patrick,
Casadebaig Pierre, Langlade Nicolas
Frontiers in Plant Science. 2019 9
Envirotype approach for soybean genotype selection through the integration of georeferenced climate and genetic data using artificial neural networks
Leichtweis Bruno Grespan,
de Faria Silva Letícia,
Peixoto Marco Antônio,
Peternelli Luiz Alexandre, da Silva Felipe Lopes
Euphytica. 2024 220(1).
Two decades of harnessing standing genetic variation for physiological traits to improve drought tolerance in maize
Messina Carlos D,
Gho Carla,
Hammer Graeme L,
Tang Tom,
Cooper Mark, Vadez Vincent
Journal of Experimental Botany. 2023 74(16). p.4847
Modeling Genotype × Environment Interaction for Genomic Selection with Unbalanced Data from a Wheat Breeding Program
Lado Bettina,
Barrios Pablo González,
Quincke Martín,
Silva Paula, Gutiérrez Lucía
Crop Science. 2016 56(5). p.2165
Applying remote sensing expertise to crop improvement: progress and challenges to scale up high throughput field phenotyping from research to industry
Autonomous Air and Ground Sensing Systems for Agricultural Optimization and Phenotyping (2016)
Modernising breeding for orphan crops: tools, methodologies, and beyond
Ribaut Jean-Marcel, Ragot Michel
Planta. 2019 250(3). p.971
Integrating nitrogen and water‐soluble carbohydrates dynamics in maize: A comparison of hybrids from different decades
Fernandez Javier A.,
Messina Carlos D.,
Rotundo José L., Ciampitti Ignacio A.
Crop Science. 2021 61(2). p.1360
Profiling, isolation and characterisation of beneficial microbes from the seed microbiomes of drought tolerant wheat
Hone Holly,
Mann Ross,
Yang Guodong,
Kaur Jatinder,
Tannenbaum Ian,
Li Tongda,
Spangenberg German, Sawbridge Timothy
Scientific Reports. 2021 11(1).
Industry‐Scale Evaluation of Maize Hybrids Selected for Increased Yield in Drought‐Stress Conditions of the US Corn Belt
Gaffney Jim,
Schussler Jeff,
Löffler Carlos,
Cai Weiguo,
Paszkiewicz Steve,
Messina Carlos,
Groeteke Jeremy,
Keaschall Joe, Cooper Mark
Crop Science. 2015 55(4). p.1608
Contribution of Remote Sensing on Crop Models: A Review
Kasampalis Dimitrios,
Alexandridis Thomas,
Deva Chetan,
Challinor Andrew,
Moshou Dimitrios, Zalidis Georgios
Journal of Imaging. 2018 4(4). p.52
Genetic improvement of triticale for irrigated systems in south-eastern Australia: a study of genotype and genotype×environment interactions
Milgate Andrew,
Ovenden Ben,
Adorada Dante,
Lisle Chris,
Lacy John, Coombes Neil
Crop and Pasture Science. 2015 66(8). p.782
Increased genomic prediction accuracy in wheat breeding using a large Australian panel
Norman Adam,
Taylor Julian,
Tanaka Emi,
Telfer Paul,
Edwards James,
Martinant Jean-Pierre, Kuchel Haydn
Theoretical and Applied Genetics. 2017 130(12). p.2543
Spatial sampling of multi-environment trials data for station layout of maize variety
2017 6th International Conference on Agro-Geoinformatics (2017)
Smart Plant Breeding for Vegetable Crops in Post-genomics Era (2023)
Enviromics: bridging different sources of data, building one framework
Costa-Neto Germano, Fritsche-Neto Roberto
Crop Breeding and Applied Biotechnology. 2021 21(spe).
Encyclopedia of Sustainability Science and Technology (2018)
Parent-progeny imputation from pooled samples for cost-efficient genotyping in plant breeding
Technow Frank,
Gerke Justin, Ali Jauhar
PLOS ONE. 2017 12(12). p.e0190271
Crop Systems Biology (2016)
Indirect selection for potential yield in early-generation, spaced plantings of wheat and other small-grain cereals: a review
Fischer R. A., Rebetzke G. J.
Crop and Pasture Science. 2018 69(5). p.439
Late-season nitrogen fertilization on maize yield: A meta-analysis
Fernandez Javier A.,
DeBruin Jason,
Messina Carlos D., Ciampitti Ignacio A.
Field Crops Research. 2020 247 p.107586
Genetic Improvement of Tropical Crops (2017)
Genomic prediction unifies animal and plant breeding programs to form platforms for biological discovery
Hickey John M,
Chiurugwi Tinashe,
Mackay Ian, Powell Wayne
Nature Genetics. 2017 49(9). p.1297
Suitability Evaluation of Crop Variety via Graph Neural Network
Zhang Qiusi,
Li Bo,
Zhang Yong,
Wang Shufeng, Zhang Dalin
Computational Intelligence and Neuroscience. 2022 2022 p.1
Genomic selection and enablers for agronomic traits in maize (Zea mays): A review
Gunundu Rodreck,
Shimelis Hussein, Mashilo Jacob
Plant Breeding. 2023 142(5). p.573
Plant Breeding Reviews (2022)
Translating High-Throughput Phenotyping into Genetic Gain
Araus José Luis,
Kefauver Shawn C.,
Zaman-Allah Mainassara,
Olsen Mike S., Cairns Jill E.
Trends in Plant Science. 2018 23(5). p.451
GIS-FA: an approach to integrating thematic maps, factor-analytic, and envirotyping for cultivar targeting
Araújo Maurício S.,
Chaves Saulo F. S.,
Dias Luiz A. S.,
Ferreira Filipe M.,
Pereira Guilherme R.,
Bezerra André R. G.,
Alves Rodrigo S.,
Heinemann Alexandre B.,
Breseghello Flávio,
Carneiro Pedro C. S.,
Krause Matheus D.,
Costa-Neto Germano, Dias Kaio O. G.
Theoretical and Applied Genetics. 2024 137(4).
Developing and deploying climate-resilient maize varieties in the developing world
Cairns Jill E, Prasanna BM
Current Opinion in Plant Biology. 2018 45 p.226
A new approach to crop model calibration: Phenotyping plus post‐processing
Casadebaig Pierre,
Debaeke Philippe, Wallach Daniel
Crop Science. 2020 60(2). p.709
Modelling the nitrogen dynamics of maize crops – Enhancing the APSIM maize model
Soufizadeh S.,
Munaro E.,
McLean G.,
Massignam A.,
van Oosterom E.J.,
Chapman S.C.,
Messina C.,
Cooper M., Hammer G.L.
European Journal of Agronomy. 2018 100 p.118
Review: High-throughput phenotyping to enhance the use of crop genetic resources
Rebetzke G.J.,
Jimenez-Berni J.,
Fischer R.A.,
Deery D.M., Smith D.J.
Plant Science. 2019 282 p.40
Modelling strategies for assessing and increasing the effectiveness of new phenotyping techniques in plant breeding
van Eeuwijk Fred A.,
Bustos-Korts Daniela,
Millet Emilie J.,
Boer Martin P.,
Kruijer Willem,
Thompson Addie,
Malosetti Marcos,
Iwata Hiroyoshi,
Quiroz Roberto,
Kuppe Christian,
Muller Onno,
Blazakis Konstantinos N.,
Yu Kang,
Tardieu Francois, Chapman Scott C.
Plant Science. 2019 282 p.23
Can Spatial Modeling Substitute for Experimental Design in Agricultural Experiments?
Borges Alejandra,
González-Reymundez Agustín,
Ernst Oswaldo,
Cadenazzi Mónica,
Terra José, Gutiérrez Lucía
Crop Science. 2019 59(1). p.44
Mapping of resistance to corn borers in a MAGIC population of maize
Jiménez-Galindo José Cruz,
Malvar Rosa Ana,
Butrón Ana,
Santiago Rogelio,
Samayoa Luis Fernando,
Caicedo Marlon, Ordás Bernardo
BMC Plant Biology. 2019 19(1).
Recent insights into barley and Rhynchosporium commune interactions
Zhang Xuechen,
Ovenden Ben, Milgate Andrew
Molecular Plant Pathology. 2020 21(8). p.1111
Playing with plant height and spike number in Brazilian wheat: an applied study on early-generation selection effects
Thurow Liamara Bahr,
da Silva Raíssa Martins,
Venske Eduardo,
Ceolin Guilherme Paim,
de Oliveira Victoria Freitas,
Stülp Cristiano,
Figueiredo Ricardo Garcia,
Tessmann Elisane Weber,
da Maia Luciano Carlos, de Oliveira Antonio Costa
Journal of Crop Science and Biotechnology. 2024 27(2). p.135
Modelling selection response in plant-breeding programs using crop models as mechanistic gene-to-phenotype (CGM-G2P) multi-trait link functions
Cooper M,
Powell O,
Voss-Fels K P,
Messina C D,
Gho C,
Podlich D W,
Technow F,
Chapman S C,
Beveridge C A,
Ortiz-Barrientos D,
Hammer G L, Vadez Vincent
in silico Plants. 2021 3(1).
Quantitative and population genomics suggest a broad role of stay‐green loci in the drought adaptation of sorghum
Faye Jacques M.,
Akata Eyanawa A.,
Sine Bassirou,
Diatta Cyril,
Cisse Ndiaga,
Fonceka Daniel, Morris Geoffrey P.
The Plant Genome. 2022 15(1).
Genetic Improvement of Key Agronomic Traits in Melilotus albus
Luo Kai,
Jahufer M. Z. Z.,
Zhao Hong,
Zhang Rui,
Wu Fan,
Yan Zhuanzhuan,
Zhang Jiyu, Wang Yanrong
Crop Science. 2018 58(1). p.285
Accelerating Tomato Breeding by Exploiting Genomic Selection Approaches
Cappetta Elisa,
Andolfo Giuseppe,
Di Matteo Antonio,
Barone Amalia,
Frusciante Luigi, Ercolano Maria Raffaella
Plants. 2020 9(9). p.1236
Plant Breeding to Mitigate Climate Change—Present Status and Opportunities with an Assessment of Winter Wheat Cultivation in Northern Europe as an Example
Johansson Eva,
Muneer Faraz, Prade Thomas
Sustainability. 2023 15(16). p.12349
Encyclopedia of Sustainability Science and Technology (2018)
Advances in Food Biotechnology (2015)
Genotypic Variation in Agronomic Traits and Molecular Markers among Chinese Luobuma (Apocynum spp.) Germplasm Accessions
Zhao Yufeng,
Feng Runqiu,
Li Tao,
Zulfiqhar Jahufer Mohamed Zain,
Wang Li, Zhang Jiyu
Agriculture. 2024 14(3). p.332
Physiological, Molecular, and Genetic Perspectives of Wheat Improvement (2021)
Cold Tolerance in Plants (2018)
Improving winter barley adaptation to freezing and heat stresses in the U.S. Midwest: bottlenecks and opportunities
Sadok Walid,
Wiersma Jochum J.,
Steffenson Brian J.,
Snapp Sigelinde S., Smith Kevin P.
Field Crops Research. 2022 286 p.108635
Replicated Evolution in Plants
James Maddie E.,
Brodribb Tim,
Wright Ian J.,
Rieseberg Loren H., Ortiz-Barrientos Daniel
Annual Review of Plant Biology. 2023 74(1). p.697
Genomics and phenomics enabled prebreeding improved early-season chilling tolerance in Sorghum
Marla Sandeep,
Felderhoff Terry,
Hayes Chad,
Perumal Ramasamy,
Wang Xu,
Poland Jesse,
Morris Geoffrey P, Brown P
G3: Genes, Genomes, Genetics. 2023 13(8).
Integration of genomic selection with doubled-haploid evaluation in hybrid breeding: From GS 1.0 to GS 4.0 and beyond
Fu Junjie,
Hao Yangfan,
Li Huihui,
Reif Jochen C.,
Chen Shaojiang,
Huang Changling,
Wang Guoying,
Li Xinhai,
Xu Yunbi, Li Liang
Molecular Plant. 2022 15(4). p.577
Understanding the classics: the unifying concepts of transgressive segregation, inbreeding depression and heterosis and their central relevance for crop breeding
Mackay Ian J.,
Cockram James,
Howell Phil, Powell Wayne
Plant Biotechnology Journal. 2021 19(1). p.26
Crop Systems Biology (2016)
Mega-environment analysis to assess adaptability, stability, and genomic predictions in grain sorghum hybrids
Fonseca Jales M. O.,
Perumal Ramasamy,
Klein Patricia E.,
Klein Robert R., Rooney William L.
Euphytica. 2022 218(9).
Yield dissection models to improve yield: a case study in tomato
Tsutsumi-Morita Yutaka,
Heuvelink Ep,
Khaleghi Sedighehsadat,
Bustos-Korts Daniela,
Marcelis Leo F M,
Vermeer Kim M C A,
van Dijk Hannelore,
Millenaar Frank F,
Van Voorn George A K,
Van Eeuwijk Fred A,
Messina Carlos, Long Stephen P
in silico Plants. 2021 3(1).
Enhancing Genetic Gain through Genomic Selection: From Livestock to Plants
Xu Yunbi,
Liu Xiaogang,
Fu Junjie,
Wang Hongwu,
Wang Jiankang,
Huang Changling,
Prasanna Boddupalli M.,
Olsen Michael S.,
Wang Guoying, Zhang Aimin
Plant Communications. 2020 1(1). p.100005
Physiological trait networks enhance understanding of crop growth and water use in contrasting environments
Gleason Sean M.,
Barnard Dave M.,
Green Timothy R.,
Mackay Scott,
Wang Diane R.,
Ainsworth Elizabeth A.,
Altenhofen Jon,
Brodribb Timothy J.,
Cochard Hervé,
Comas Louise H.,
Cooper Mark,
Creek Danielle,
DeJonge Kendall C.,
Delzon Sylvain,
Fritschi Felix B.,
Hammer Graeme,
Hunter Cameron,
Lombardozzi Danica,
Messina Carlos D.,
Ocheltree Troy,
Stevens Bo Maxwell,
Stewart Jared J.,
Vadez Vincent,
Wenz Joshua,
Wright Ian J.,
Yemoto Kevin, Zhang Huihui
Plant, Cell & Environment. 2022 45(9). p.2554
Optimum breeding strategies using genomic selection for hybrid breeding in wheat, maize, rye, barley, rice and triticale
Marulanda Jose J.,
Mi Xuefei,
Melchinger Albrecht E.,
Xu Jian-Long,
Würschum T., Longin C. Friedrich H.
Theoretical and Applied Genetics. 2016 129(10). p.1901
(2024)
Model‐Driven Multidisciplinary Global Research to Meet Future Needs: The Case for “Improving Radiation Use Efficiency to Increase Yield”
Asseng Senthold,
Martre Pierre,
Ewert Frank,
Dreccer M. Fernanda,
Beres Brian L.,
Reynolds Matthew,
Braun Hans-Joachim,
Langridge Peter,
Le Gouis Jacques,
Salse Jérôme, Baenziger P. Stephen
Crop Science. 2019 59(3). p.843
Perspectives on Applications of Hierarchical Gene-To-Phenotype (G2P) Maps to Capture Non-stationary Effects of Alleles in Genomic Prediction
Powell Owen M.,
Voss-Fels Kai P.,
Jordan David R.,
Hammer Graeme, Cooper Mark
Frontiers in Plant Science. 2021 12
Environment Characterization in Sorghum (Sorghum bicolor L.) by Modeling Water-Deficit and Heat Patterns in the Great Plains Region, United States
Carcedo Ana J. P.,
Mayor Laura,
Demarco Paula,
Morris Geoffrey P.,
Lingenfelser Jane,
Messina Carlos D., Ciampitti Ignacio A.
Frontiers in Plant Science. 2022 13
Genome optimization for improvement of maize breeding
Jiang Shuqin,
Cheng Qian,
Yan Jun,
Fu Ran, Wang Xiangfeng
Theoretical and Applied Genetics. 2020 133(5). p.1491
Soil water extraction, water use, and grain yield by drought-tolerant maize on the Texas High Plains
Hao Baozhen,
Xue Qingwu,
Marek Thomas H.,
Jessup Kirk E.,
Hou Xiaobo,
Xu Wenwei,
Bynum Edsel D., Bean Brent W.
Agricultural Water Management. 2015 155 p.11
Bandwagons I, too, have known
Bernardo Rex
Theoretical and Applied Genetics. 2016 129(12). p.2323
Genome‐wide association studies identify putative pleiotropic locus mediating drought tolerance in sorghum
Maina Fanna,
Harou Abdou,
Hamidou Falalou, Morris Geoffrey P.
Plant Direct. 2022 6(6).
Enviromic Assembly Increases Accuracy and Reduces Costs of the Genomic Prediction for Yield Plasticity in Maize
Costa-Neto Germano,
Crossa Jose, Fritsche-Neto Roberto
Frontiers in Plant Science. 2021 12
Transformation of Agri-Food Systems (2023)
Can we harness digital technologies and physiology to hasten genetic gain in US maize breeding?
Diepenbrock Christine H,
Tang Tom,
Jines Michael,
Technow Frank,
Lira Sara,
Podlich Dean,
Cooper Mark, Messina Carlos
Plant Physiology. 2022 188(2). p.1141
Characterising production environments for maize in eastern and southern Africa using the APSIM Model
Seyoum Solomon,
Chauhan Yash,
Rachaputi Rao,
Fekybelu Solomon, Prasanna Boddupalli
Agricultural and Forest Meteorology. 2017 247 p.445
Application of remote sensing to identify adult plant resistance loci to stripe rust in two bread wheat mapping populations
Pretorius Z. A.,
Lan C. X.,
Prins R.,
Knight V.,
McLaren N. W.,
Singh R. P.,
Bender C. M., Kloppers F. J.
Precision Agriculture. 2017 18(4). p.411
Assessing the place and role of crop simulation modelling in Australia
Robertson M. J.,
Rebetzke G. J., Norton R. M.
Crop and Pasture Science. 2015 66(9). p.877
Breeding custom‐designed crops for improved drought adaptation
Varshney Rajeev K.,
Barmukh Rutwik,
Roorkiwal Manish,
Qi Yiping,
Kholova Jana,
Tuberosa Roberto,
Reynolds Matthew P.,
Tardieu Francois, Siddique Kadambot H. M.
Advanced Genetics. 2021 2(3).
Mixing trait-based corn (Zea mays L.) cultivars increases yield through pollination synchronization and increased cross-fertilization
Li Hongping,
Liu Kui,
Li Zhibin,
Zhang Moubiao,
Zhang Yongen,
Li Shuyan,
Wang Xiuling,
Zhou Jinlong,
Zhao Yali,
Liu Tianxue, Li Chaohai
The Crop Journal. 2023 11(1). p.291
Predictive breeding in maize during the last 90 years
Bernardo Rex
Crop Science. 2021 61(5). p.2872
Addressing Research Bottlenecks to Crop Productivity
Reynolds Matthew,
Atkin Owen K.,
Bennett Malcolm,
Cooper Mark,
Dodd Ian C.,
Foulkes M. John,
Frohberg Claus,
Hammer Graeme,
Henderson Ian R.,
Huang Bingru,
Korzun Viktor,
McCouch Susan R.,
Messina Carlos D.,
Pogson Barry J.,
Slafer Gustavo A.,
Taylor Nicolas L., Wittich Peter E.
Trends in Plant Science. 2021 26(6). p.607
Towards resilience through systems-based plant breeding. A review
Lammerts van Bueren Edith T.,
Struik Paul C.,
van Eekeren Nick, Nuijten Edwin
Agronomy for Sustainable Development. 2018 38(5).
Crop Science (2019)
Interdisciplinary strategies to enable data-driven plant breeding in a changing climate
Kusmec Aaron,
Zheng Zihao,
Archontoulis Sotirios,
Ganapathysubramanian Baskar,
Hu Guiping,
Wang Lizhi,
Yu Jianming, Schnable Patrick S.
One Earth. 2021 4(3). p.372
Integrating genetic gain and gap analysis to predict improvements in crop productivity
Cooper Mark,
Tang Tom,
Gho Carla,
Hart Tim,
Hammer Graeme, Messina Carlos
Crop Science. 2020 60(2). p.582
Sustainable Solutions for Food Security (2019)
Maize outyielding sorghum under drought conditions helps explain land use changes in the US
Rotundo Jose L.,
Salinas Andrea,
Gomara Nicolas,
Borras Lucas, Messina Carlos
Field Crops Research. 2024 308 p.109298
Yield Comparisons between Cotton Variety Xin Nong Mian 1 and Its Transgenic ScALDH21 Lines under Different Water Deficiencies in a Desert-Oasis Ecotone
Yang Honglan,
Bozorov Tohir A.,
Chen Xiaoping,
Zhang Dawei,
Wang Jiancheng,
Li Xiaoshuang,
Gui Dongwei,
Qi Zhiming, Zhang Daoyuan
Agronomy. 2021 11(5). p.1019
Rice Research for Quality Improvement: Genomics and Genetic Engineering (2020)
Translating knowledge about abiotic stress tolerance to breeding programmes
Gilliham Matthew,
Able Jason A., Roy Stuart J.
The Plant Journal. 2017 90(5). p.898
Water Use and Grain Yield in Drought‐Tolerant Corn in the Texas High Plains
Hao B.,
Xue Q.,
Marek T. H.,
Jessup K. E.,
Becker J.,
Hou X.,
Xu W.,
Bynum E. D.,
Bean B. W.,
Colaizzi P. D., Howell T. A.
Agronomy Journal. 2015 107(5). p.1922
Genetic Enhancement in Major Food Legumes (2021)
Next-Generation Plant Breeding Approaches for Stress Resilience in Cereal Crops (2022)
Physiological Bases of Across‐Environment and Environment‐Specific Responses for Grain Yield in Maize Hybrids Obtained from a Full Diallel Mating Design
Munaro Eugenia M.,
de la Vega Abelardo J.,
D'Andrea Karina E.,
Messina Carlos D., Otegui Maria E.
Crop Science. 2018 58(1). p.180
Predicting Responses in Multiple Environments: Issues in Relation to Genotype × Environment Interactions
Malosetti Marcos,
Bustos‐Korts Daniela,
Boer Martin P., van Eeuwijk Fred A.
Crop Science. 2016 56(5). p.2210
Crop Systems Biology (2016)
Strategies for Effective Use of Genomic Information in Crop Breeding Programs Serving Africa and South Asia
Santantonio Nicholas,
Atanda Sikiru Adeniyi,
Beyene Yoseph,
Varshney Rajeev K.,
Olsen Michael,
Jones Elizabeth,
Roorkiwal Manish,
Gowda Manje,
Bharadwaj Chellapilla,
Gaur Pooran M.,
Zhang Xuecai,
Dreher Kate,
Ayala-Hernández Claudio,
Crossa Jose,
Pérez-Rodríguez Paulino,
Rathore Abhishek,
Gao Star Yanxin,
McCouch Susan, Robbins Kelly R.
Frontiers in Plant Science. 2020 11
Can Crop Models Identify Critical Gaps in Genetics, Environment, and Management Interactions?
Stöckle Claudio O., Kemanian Armen R.
Frontiers in Plant Science. 2020 11
Toward a Bayesian procedure for using process-based models in plant breeding, with application to ideotype design
Van Oijen M., Höglind M.
Euphytica. 2016 207(3). p.627
Genome-Wide Association Mapping and Genomic Prediction Analyses Reveal the Genetic Architecture of Grain Yield and Flowering Time Under Drought and Heat Stress Conditions in Maize
Yuan Yibing,
Cairns Jill E.,
Babu Raman,
Gowda Manje,
Makumbi Dan,
Magorokosho Cosmos,
Zhang Ao,
Liu Yubo,
Wang Nan,
Hao Zhuanfang,
San Vicente Felix,
Olsen Michael S.,
Prasanna Boddupalli M.,
Lu Yanli, Zhang Xuecai
Frontiers in Plant Science. 2019 9
Advances in integrated genomic selection for rapid genetic gain in crop improvement: a review
Anilkumar C.,
Sunitha N. C.,
Harikrishna ,
Devate Narayana Bhat, Ramesh S.
Planta. 2022 256(5).
Modelling the dynamics and phenotypic consequences of tiller outgrowth and cessation in sorghum
Hammer Graeme L,
McLean Greg,
Kholová Jana,
van Oosterom Erik, Long Stephen P
in silico Plants. 2023 5(2).
Breeding crops for improved mineral nutrition under climate change conditions: Fig. 1.
Pilbeam David J.
Journal of Experimental Botany. 2015 66(12). p.3511
Genomic Designing of Climate-Smart Cereal Crops (2020)
A Case Study of R Performance Analysis and Optimization
Proceedings of the Practice and Experience on Advanced Research Computing (2018)
Plot-Scale Agroforestry Modeling Explores Tree Pruning and Fertilizer Interactions for Maize Production in a Faidherbia Parkland
Dilla Aynalem M.,
Smethurst Philip J.,
Huth Neil I., Barry Karen M.
Forests. 2020 11(11). p.1175
Sustained improvement in tolerance to water deficit accompanies maize yield increase in temperate environments
Messina Carlos,
Ciampitti Ignacio Antonio,
Berning Dan,
Bubeck Dave,
Hammer Graeme, Cooper Mark
Crop Science. 2022 62(6). p.2138
Multi-environment multi-QTL association mapping identifies disease resistance QTL in barley germplasm from Latin America
Gutiérrez Lucia,
Germán Silvia,
Pereyra Silvia,
Hayes Patrick M.,
Pérez Carlos A.,
Capettini Flavio,
Locatelli Andres,
Berberian Natalia M.,
Falconi Esteban E.,
Estrada Rigoberto,
Fros Dario,
Gonza Victor,
Altamirano Hernan,
Huerta-Espino Julio,
Neyra Edgar,
Orjeda Gisella,
Sandoval-Islas Sergio,
Singh Ravi,
Turkington Kelly, Castro Ariel J.
Theoretical and Applied Genetics. 2015 128(3). p.501
Environment-specific genomic prediction ability in maize using environmental covariates depends on environmental similarity to training data
Rogers Anna R,
Holland James B, Lipka A
G3 Genes|Genomes|Genetics. 2021
Accelerating crop genetic gains with genomic selection
Voss-Fels Kai Peter,
Cooper Mark, Hayes Ben John
Theoretical and Applied Genetics. 2019 132(3). p.669
Frost Damage Index: The Antipode of Growing Degree Days
Tschurr Flavian,
Kirchgessner Norbert,
Hund Andreas,
Kronenberg Lukas,
Anderegg Jonas,
Walter Achim, Roth Lukas
Plant Phenomics. 2023 5
Gender-responsive Researchers Equipped for Agricultural Transformation (2022)
Reconstruction of Networks with Direct and Indirect Genetic Effects
Kruijer Willem,
Behrouzi Pariya,
Bustos-Korts Daniela,
Rodríguez-Álvarez María Xosé,
Mahmoudi Seyed Mahdi,
Yandell Brian,
Wit Ernst, van Eeuwijk Fred A
Genetics. 2020 214(4). p.781
How can envirotyping help to mitigate the impact of climate change on carrots?
Chevalier J., Gomez A.
Acta Horticulturae. 2024 (1393). p.247
CERES-Maize model for simulating genotype-by-environment interaction of maize and its stability in the dry and wet savannas of Nigeria
Adnan A.A,
Diels J.,
Jibrin J.M.,
Kamara A.Y,
Shaibu A.S,
Craufurd P, Menkir Abebe
Field Crops Research. 2020 253 p.107826
Plant production in water-limited environments
Hammer Graeme L,
Cooper Mark, Reynolds Matthew P
Journal of Experimental Botany. 2021 72(14). p.5097
Plant Breeding Reviews (2019)
Sorghum (2019)
Plant, space and time - linked together in an integrative and scalable data management system for phenomic approaches in agronomic field trials
Honecker Andreas,
Schumann Henrik,
Becirevic Diana,
Klingbeil Lasse,
Volland Kai,
Forberig Steffi,
Jansen Marc,
Paulsen Hinrich,
Kuhlmann Heiner, Léon Jens
Plant Methods. 2020 16(1).
Back to the future: implications of genetic complexity for the structure of hybrid breeding programs
Technow Frank,
Podlich Dean,
Cooper Mark, Morris G P
G3 Genes|Genomes|Genetics. 2021 11(7).
Drought Stress Tolerance in Plants, Vol 2 (2016)
Genomics-assisted breeding – A revolutionary strategy for crop improvement
LENG Peng-fei,
Lübberstedt Thomas, XU Ming-liang
Journal of Integrative Agriculture. 2017 16(12). p.2674
PhenoBot: an automated system for leaf area analysis using deep learning
Richardson Grant A.,
Lohani Harshit K.,
Potnuru Chaitanyam,
Donepudi Leela Prasad, Pankajakshan Praveen
Planta. 2023 257(2).
Optimum replications and locations for cotton cultivar trials under Mediterranean conditions
BAXEVANOS D.,
TSIALTAS J. T.,
VLACHOSTERGIOS D., GOULAS C.
The Journal of Agricultural Science. 2017 155(10). p.1553
Accounting for spatial trends in multi-environment diallel analysis in maize breeding
Ferreira Coelho Igor,
Peixoto Marco Antônio,
Marçal Tiago de Souza,
Bernardeli Arthur,
Silva Alves Rodrigo,
de Lima Rodrigo Oliveira,
Reis Edésio Fialho dos,
Bhering Leonardo Lopes, Rahimi Mehdi
PLOS ONE. 2021 16(10). p.e0258473
Genetic trends in CIMMYT’s tropical maize breeding pipelines
Prasanna Boddupalli M.,
Burgueño Juan,
Beyene Yoseph,
Makumbi Dan,
Asea Godfrey,
Woyengo Vincent,
Tarekegne Amsal,
Magorokosho Cosmos,
Wegary Dagne,
Ndhlela Thokozile,
Zaman-Allah Mainassara,
Matova Prince M.,
Mwansa Kabamba,
Mashingaidze Kingstone,
Fato Pedro,
Teklewold Adefris,
Vivek B. S.,
Zaidi P. H.,
Vinayan M. T.,
Patne Nagesh,
Rakshit Sujay,
Kumar Ramesh,
Jat S. L.,
Singh S. B.,
Kuchanur Prakash H.,
Lohithaswa H. C.,
Singh N. K.,
Koirala K. B.,
Ahmed Salahuddin,
Vicente Felix San,
Dhliwayo Thanda, Cairns Jill E.
Scientific Reports. 2022 12(1).
Extending the breeder’s equation to take aim at the target population of environments
Cooper Mark,
Powell Owen,
Gho Carla,
Tang Tom, Messina Carlos
Frontiers in Plant Science. 2023 14
Dissecting and modelling the comparative adaptation to water limitation of sorghum and maize: role of transpiration efficiency, transpiration rate and height
van Oosterom E J,
Kulathunga M R D L,
Deifel K S,
McLean G B,
Barrasso C,
Wu A,
Messina C,
Hammer G L,
Vadez Vincent, Long Stephen P
in silico Plants. 2021 3(1).
In pursuit of a better world: crop improvement and the CGIAR
Kholová Jana,
Urban Milan Oldřich,
Cock James,
Arcos Jairo,
Arnaud Elizabeth,
Aytekin Destan,
Azevedo Vania,
Barnes Andrew P,
Ceccarelli Salvatore,
Chavarriaga Paul,
Cobb Joshua N,
Connor David,
Cooper Mark,
Craufurd Peter,
Debouck Daniel,
Fungo Robert,
Grando Stefania,
Hammer Graeme L,
Jara Carlos E,
Messina Charlie,
Mosquera Gloria,
Nchanji Eileen,
Ng Eng Hwa,
Prager Steven,
Sankaran Sindhujan,
Selvaraj Michael,
Tardieu François,
Thornton Philip,
Valdes-Gutierrez Sandra P,
van Etten Jacob,
Wenzl Peter,
Xu Yunbi, Reynolds Mathew
Journal of Experimental Botany. 2021 72(14). p.5158
(2020)
Understanding the genomic selection for crop improvement: current progress and future prospects
Parveen Rabiya,
Kumar Mankesh,
Swapnil ,
Singh Digvijay,
Shahani Monika,
Imam Zafar, Sahoo Jyoti Prakash
Molecular Genetics and Genomics. 2023 298(4). p.813
(2024)
Nonlinear kernels, dominance, and envirotyping data increase the accuracy of genome-based prediction in multi-environment trials
Costa-Neto Germano,
Fritsche-Neto Roberto, Crossa José
Heredity. 2021 126(1). p.92
Loci That Control Nonlinear, Interdependent Responses to Combinations of Drought and Nitrogen Limitation
Chang Megan M,
Nail Danielle Allery,
Kazic Toni,
Simmons Susan J, Stapleton Ann E
G3 Genes|Genomes|Genetics. 2018 8(5). p.1481
The Past, Present, and Future of Host Plant Resistance in Cotton: An Australian Perspective
Egan Lucy M., Stiller Warwick N.
Frontiers in Plant Science. 2022 13
Gains in Maize Genetic Improvement in Eastern and Southern Africa: I. CIMMYT Hybrid Breeding Pipeline
Masuka Benhilda,
Atlin Gary N.,
Olsen Mike,
Magorokosho Cosmos,
Labuschagne Maryke,
Crossa Jose,
Bänziger Marianne,
Pixley Kevin V.,
Vivek Bindiganavile S.,
von Biljon Angela,
Macrobert John,
Alvarado Gregorio,
Prasanna B.M.,
Makumbi Dan,
Tarekegne Amsal,
Das Bish,
Zaman‐Allah Mainassara, Cairns Jill E.
Crop Science. 2017 57(1). p.168
Next-Generation Plant Breeding Approaches for Stress Resilience in Cereal Crops (2022)
Envirotyping for deciphering environmental impacts on crop plants
Xu Yunbi
Theoretical and Applied Genetics. 2016 129(4). p.653
Enhancing genetic gain in the era of molecular breeding
Xu Yunbi,
Li Ping,
Zou Cheng,
Lu Yanli,
Xie Chuanxiao,
Zhang Xuecai,
Prasanna Boddupalli M., Olsen Michael S.
Journal of Experimental Botany. 2017 68(11). p.2641
Enviromics in breeding: applications and perspectives on envirotypic-assisted selection
Resende Rafael T.,
Piepho Hans-Peter,
Rosa Guilherme J. M.,
Silva-Junior Orzenil B.,
e Silva Fabyano F.,
de Resende Marcos Deon V., Grattapaglia Dario
Theoretical and Applied Genetics. 2021 134(1). p.95
Four decades of soil water stress history together with host genotype constrain the response of the wheat microbiome to soil moisture
Azarbad Hamed,
Tremblay Julien,
Giard-Laliberté Charlotte,
Bainard Luke D, Yergeau Etienne
FEMS Microbiology Ecology. 2020 96(7).
Allele mining in the Argentine public maize inbred line collection of two paralogous genes encoding NAC domains
Estermann M. A.,
Ugarte A.,
Pretini N.,
Vega C. R. C., Olmos S. E.
Molecular Breeding. 2017 37(2).
Yield performance estimation of corn hybrids using machine learning algorithms
Babaie Sarijaloo Farnaz,
Porta Michele,
Taslimi Bijan, Pardalos Panos M.
Artificial Intelligence in Agriculture. 2021 5 p.82
Genomewide selection utilizing historic datasets improves early stage selection accuracy and selection stability
Sleper Joshua A.,
Sweet Patrick K.,
Mukherjee Shreyartha,
Li Min,
Hugie Kari L., Warner Todd L.
Crop Science. 2020 60(2). p.772
Combining abilities and elite germplasm enhancement across U.S. public sorghum breeding programs
Fonseca Jales M. O.,
Perumal Ramasamy,
Klein Patricia E.,
Klein Robert R., Rooney William L.
Crop Science. 2021 61(6). p.4098
Mutation Breeding in Horticultural Plant Species
Galatalı Selin,
]Özkaya Damla Ekin,
Mercan Taner, Kaya Ergun
OBM Genetics. 2023 07(04). p.1
Genetic architecture of plant stress resistance: multi‐trait genome‐wide association mapping
Thoen Manus P. M.,
Davila Olivas Nelson H.,
Kloth Karen J.,
Coolen Silvia,
Huang Ping‐Ping,
Aarts Mark G. M.,
Bac‐Molenaar Johanna A.,
Bakker Jaap,
Bouwmeester Harro J.,
Broekgaarden Colette,
Bucher Johan,
Busscher‐Lange Jacqueline,
Cheng Xi,
Fradin Emilie F.,
Jongsma Maarten A.,
Julkowska Magdalena M.,
Keurentjes Joost J. B.,
Ligterink Wilco,
Pieterse Corné M. J.,
Ruyter‐Spira Carolien,
Smant Geert,
Testerink Christa,
Usadel Björn,
van Loon Joop J. A.,
van Pelt Johan A.,
van Schaik Casper C.,
van Wees Saskia C. M.,
Visser Richard G. F.,
Voorrips Roeland,
Vosman Ben,
Vreugdenhil Dick,
Warmerdam Sonja,
Wiegers Gerrie L.,
van Heerwaarden Joost,
Kruijer Willem,
van Eeuwijk Fred A., Dicke Marcel
New Phytologist. 2017 213(3). p.1346
Towards grapevine root architectural models to adapt viticulture to drought
Fichtl Lukas,
Hofmann Marco,
Kahlen Katrin,
Voss-Fels Kai P.,
Cast Clément Saint,
Ollat Nathalie,
Vivin Philippe,
Loose Simone,
Nsibi Mariem,
Schmid Joachim,
Strack Timo,
Schultz Hans Reiner,
Smith Jason, Friedel Matthias
Frontiers in Plant Science. 2023 14
Genetic Architecture of Chilling Tolerance in Sorghum Dissected with a Nested Association Mapping Population
Marla Sandeep R,
Burow Gloria,
Chopra Ratan,
Hayes Chad,
Olatoye Marcus O,
Felderhoff Terry,
Hu Zhenbin,
Raymundo Rubi,
Perumal Ramasamy, Morris Geoffrey P
G3 Genes|Genomes|Genetics. 2019 9(12). p.4045
Unravelling the factors of evolutionary repeatability: insights and perspectives on predictability in evolutionary biology
Pearless Stella M., Freed Nikki E.
Frontiers in Ecology and Evolution. 2024 12
Recurrent selection of new breeding lines and yield potential, nutrient profile and in vitro rumen characteristics of Melilotus officinalis
Chen Lijun,
Wang Penglei,
Cheng Xinming,
Yan Zhuanzhuan,
Wu Fan,
Jahufer Zulfi,
Han Yangyang,
Habte Ermias,
Jones Chris Stephen,
Cheng Yanfen, Zhang Jiyu
Field Crops Research. 2022 287 p.108657
An analysis of simulated yield data for pepper shows how genotype × environment interaction in yield can be understood in terms of yield components and their QTLs
Rodrigues Paulo C.,
Heuvelink Ep,
Marcelis Leo F. M.,
Chapman Scott C., van Eeuwijk Fred A.
Crop Science. 2021 61(3). p.1826
Integrated genomic selection for rapid improvement of crops
Krishnappa Gopalareddy,
Savadi Siddanna,
Tyagi Bhudeva Singh,
Singh Sanjay Kumar,
Mamrutha Harohalli Masthigowda,
Kumar Satish,
Mishra Chandra Nath,
Khan Hanif,
Gangadhara Krishnappa,
Uday Govindareddy,
Singh Gyanendra, Singh Gyanendra Pratap
Genomics. 2021 113(3). p.1070
Linkage mapping and whole-genome predictions in canola (Brassica napus) subjected to differing temperature treatments
Koscielny Chadwick B.,
Gardner Stuart W.,
Technow Frank, Duncan Robert W.
Crop and Pasture Science. 2020 71(3). p.229
Phenotyping: New Windows into the Plant for Breeders
Watt Michelle,
Fiorani Fabio,
Usadel Björn,
Rascher Uwe,
Muller Onno, Schurr Ulrich
Annual Review of Plant Biology. 2020 71(1). p.689
Modelling plants across scales of biological organisation for guiding crop improvement
Wu Alex, Munns Rana
Functional Plant Biology. 2023 50(6). p.435
Genetic approaches to enhancing nitrogen-use efficiency (NUE) in cereals: challenges and future directions
Garnett Trevor,
Plett Darren,
Heuer Sigrid, Okamoto Mamoru
Functional Plant Biology. 2015 42(10). p.921
THE IMPORTANCE OF DEEP GENOTYPING IN CROP BREEDING
Zambelli A.
Journal of Basic and Applied Genetics. 2023 34(1). p.47
Breeding in a World of Scarcity (2016)
Ability of in situ canopy spectroscopy to differentiate genotype by environment interaction in wheat
Claudia Arias,
Montero Bulacio Enrique,
Nicolás Rigalli,
Romagnoli Martín,
Curin Facundo,
González Fernanda G.,
Otegui María E., Portapila Margarita
International Journal of Remote Sensing. 2021 42(10). p.3660
Climate Change and Agriculture (2022)
Mega-environment analysis of maize breeding data from Brazil
Pereira Francielly de Cássia,
Ramalho Magno Antonio Patto,
Resende Junior Marcio Fernando Ribeiro de, Pinho Renzo Garcia Von
Scientia Agricola. 2022 79(2).
Application of the Smith‐Hazel Selection Index for Improving Biomass Yield and Quality of Switchgrass
Jahufer M. Z. Z., Casler M. D.
Crop Science. 2015 55(3). p.1212
Crop science: A foundation for advancing predictive agriculture
Messina Carlos D.,
Cooper Mark,
Reynolds Matthew, Hammer Graeme L.
Crop Science. 2020 60(2). p.544
Editorial: Enviromics in Plant Breeding
Resende Rafael Tassinari,
Chenu Karine,
Rasmussen Soren K.,
Heinemann Alexandre Bryan, Fritsche-Neto Roberto
Frontiers in Plant Science. 2022 13
Farmers’ heterogeneous preferences for traits of improved varieties: Informing demand-oriented crop breeding in Tanzania
Regassa Mekdim D.,
Miriti Philip K., Melesse Mequanint B.
Experimental Agriculture. 2023 59
Investigations into the emergent properties of gene-to-phenotype networks across cycles of selection: a case study of shoot branching in plants
Powell Owen M,
Barbier Francois,
Voss-Fels Kai P,
Beveridge Christine,
Cooper Mark, Marshall-Colon Amy
in silico Plants. 2022 4(1).
Late‐Split Nitrogen Applications Increased Maize Plant Nitrogen Recovery but not Yield under Moderate to High Nitrogen Rates
Mueller Sarah M.,
Camberato James J.,
Messina Charlie,
Shanahan John,
Zhang Hao, Vyn Tony J.
Agronomy Journal. 2017 109(6). p.2689
Sustainable Solutions for Food Security (2019)
Accelerating Genetic Gain in Sugarcane Breeding Using Genomic Selection
Yadav Seema,
Jackson Phillip,
Wei Xianming,
Ross Elizabeth M.,
Aitken Karen,
Deomano Emily,
Atkin Felicity,
Hayes Ben J., Voss-Fels Kai P.
Agronomy. 2020 10(4). p.585
Cotton (2022)
Field‐based mechanical phenotyping of cereal crops to assess lodging resistance
Erndwein Lindsay,
Cook Douglas D.,
Robertson Daniel J., Sparks Erin E.
Applications in Plant Sciences. 2020 8(8).
Breeding Oilseed Crops for Sustainable Production (2016)
Scaling up high-throughput phenotyping for abiotic stress selection in the field
Smith Daniel T.,
Potgieter Andries B., Chapman Scott C.
Theoretical and Applied Genetics. 2021 134(6). p.1845
Rightsizing root phenotypes for drought resistance
Lynch Jonathan P
Journal of Experimental Botany. 2018 69(13). p.3279
Identification and Validation of Genomic Regions Associated With Charcoal Rot Resistance in Tropical Maize by Genome-Wide Association and Linkage Mapping
Rashid Zerka,
Kaur Harleen,
Babu Veerendra,
Singh Pradeep Kumar,
Harlapur Sharanappa I., Nair Sudha K.
Frontiers in Plant Science. 2021 12
Physiological breeding
Reynolds Matthew, Langridge Peter
Current Opinion in Plant Biology. 2016 31 p.162
Potential benefits of drought and heat tolerance for adapting maize to climate change in tropical environments
Tesfaye Kindie,
Kruseman Gideon,
Cairns Jill E.,
Zaman-Allah Mainassara,
Wegary Dagne,
Zaidi P.H.,
Boote Kenneth J.,
Rahut Dil, Erenstein Olaf
Climate Risk Management. 2018 19 p.106
Bioenergy elephant grass genotype selection leveraged by spatial modeling of conventional and high-throughput phenotyping data
Ferreira Filipe Manoel,
Leite Rodrigo Vieira,
Malikouski Renan Garcia,
Peixoto Marco Antônio,
Bernardeli Arthur,
Alves Rodrigo Silva,
de Magalhães Júnior Walter Coelho Pereira,
Andrade Ricardo Guimarães,
Bhering Leonardo Lopes, Machado Juarez Campolina
Journal of Cleaner Production. 2022 363 p.132286
New maize inbred development method I: Inter‐heterotic group composite and tester choice
Zhang Hongwei,
Li Dongdong,
Lamkey Kendall R.,
Stine Warren H.,
Yu Jianming, Stine Harry H.
Crop Science. 2024
An integrated approach to maintaining cereal productivity under climate change
Reynolds Matthew P.,
Quilligan Emma,
Aggarwal Pramod K.,
Bansal Kailash C.,
Cavalieri Anthony J.,
Chapman Scott C.,
Chapotin Saharah M.,
Datta Swapan K.,
Duveiller Etienne,
Gill Kulvinder S.,
Jagadish Krishna S.V.,
Joshi Arun K.,
Koehler Ann-Kristin,
Kosina Petr,
Krishnan Srivalli,
Lafitte Renee,
Mahala Rajendra S.,
Muthurajan Raveendran,
Paterson Andrew H.,
Prasanna Boddupalli M.,
Rakshit Sujay,
Rosegrant Mark W.,
Sharma Indu,
Singh Ravi P.,
Sivasankar Shoba,
Vadez Vincent,
Valluru Ravi,
Vara Prasad P.V., Yadav Om Prakash
Global Food Security. 2016 8 p.9
Analysis and Handling of G × E in a Practical Breeding Program
Yan Weikai
Crop Science. 2016 56(5). p.2106
Improvement of Predictive Ability by Uniform Coverage of the Target Genetic Space
Bustos-Korts Daniela,
Malosetti Marcos,
Chapman Scott,
Biddulph Ben, van Eeuwijk Fred
G3 Genes|Genomes|Genetics. 2016 6(11). p.3733
Retrospective study in U.S. commercial sorghum breeding: II. Physiological changes associated to yield gain
Demarco Paula A.,
Mayor Laura,
Rotundo José L.,
Prasad P. V. Vara,
Morris Geoffrey P.,
Fernandez Javier A.,
Tamagno Santiago,
Hammer Graeme,
Messina Carlos D., Ciampitti Ignacio A.
Crop Science. 2023 63(2). p.867
Gender-responsive Researchers Equipped for Agricultural Transformation (2022)
Integrating Crop Growth Models with Whole Genome Prediction through Approximate Bayesian Computation
Technow Frank,
Messina Carlos D.,
Totir L. Radu,
Cooper Mark, De Smet Ive
PLOS ONE. 2015 10(6). p.e0130855
Implementation of genomic selection in public-sector plant breeding programs: Current status and opportunities
Wartha Cleiton Antonio, Lorenz Aaron Joel
Crop Breeding and Applied Biotechnology. 2021 21(spe).
Can We Harness “Enviromics” to Accelerate Crop Improvement by Integrating Breeding and Agronomy?
Cooper Mark, Messina Carlos D.
Frontiers in Plant Science. 2021 12
On to the next chapter for crop breeding: Convergence with data science
Ersoz Elhan S.,
Martin Nicolas F., Stapleton Ann E.
Crop Science. 2020 60(2). p.639
Field Phenomics: Will It Enable Crop Improvement?
Deery David M., Jones Hamlyn G.
Plant Phenomics. 2021 2021
Maize, sorghum, and pearl millet have highly contrasting species strategies to adapt to water stress and climate change-like conditions
Choudhary Sunita,
Guha Anirban,
Kholova Jana,
Pandravada Anand,
Messina Charlie D.,
Cooper Mark, Vadez Vincent
Plant Science. 2020 295 p.110297
Biological reality and parsimony in crop models—why we need both in crop improvement!
Hammer Graeme,
Messina Charlie,
Wu Alex, Cooper Mark
in silico Plants. 2019 1(1).
Androgenesis-Based Doubled Haploidy: Past, Present, and Future Perspectives
Hale Brett,
Ferrie Alison M. R.,
Chellamma Sreekala,
Samuel J. Pon, Phillips Gregory C.
Frontiers in Plant Science. 2022 12
Cotton Precision Breeding (2021)
Accelerated Plant Breeding, Volume 3 (2020)
Maize reproductive development and kernel set under limited plant growth environments
Borrás Lucas, Vitantonio-Mazzini Lucas N
Journal of Experimental Botany. 2018 69(13). p.3235
Beat the stress: breeding for climate resilience in maize for the tropical rainfed environments
Prasanna Boddupalli M.,
Cairns Jill E.,
Zaidi P. H.,
Beyene Yoseph,
Makumbi Dan,
Gowda Manje,
Magorokosho Cosmos,
Zaman-Allah Mainassara,
Olsen Mike,
Das Aparna,
Worku Mosisa,
Gethi James,
Vivek B. S.,
Nair Sudha K.,
Rashid Zerka,
Vinayan M. T.,
Issa AbduRahman Beshir,
San Vicente Felix,
Dhliwayo Thanda, Zhang Xuecai
Theoretical and Applied Genetics. 2021 134(6). p.1729
Empirical comparison of genomic and phenotypic selection for resistance to Fusarium ear rot and fumonisin contamination in maize
Butoto Eric N.,
Brewer Jason C., Holland James B.
Theoretical and Applied Genetics. 2022 135(8). p.2799
A standardized workflow to utilise a grid-computing system through advanced message queuing protocols
Zheng Bangyou,
Holland Edward, Chapman Scott C.
Environmental Modelling & Software. 2016 84 p.304
Leveraging biological insight and environmental variation to improve phenotypic prediction: Integrating crop growth models (CGM) with whole genome prediction (WGP)
Messina C.D.,
Technow F.,
Tang T.,
Totir R.,
Gho C., Cooper M.
European Journal of Agronomy. 2018 100 p.151
Evidence of a plant genetic basis for maize roots impacting soil organic matter mineralization
Gowda Manje,
Cairns Jill E.,
Mwafulirwa Lumbani,
Daniell Tim J.,
Thierfelder Christian,
Paterson Eric, Baggs Elizabeth M.
Soil Biology and Biochemistry. 2021 161 p.108402
Genotypic diversity effects on biomass production in native perennial bioenergy cropping systems
Morris Geoffrey P.,
Hu Zhenbin,
Grabowski Paul P.,
Borevitz Justin O.,
de Graaff Marie‐Anne,
Miller R. Michael, Jastrow Julie D.
GCB Bioenergy. 2016 8(5). p.1000
A spatial-based approach applied to early selection stages in a forage breeding program
Ragalzi Celina M.,
de Oliveira Renato G.,
Ribeiro Alessandra G.,
Pereira Carlos H.,
Jank Liana,
Santos Mateus F., Resende Rafael T.
Euphytica. 2023 219(6).
Genotype-specific P-spline response surfaces assist interpretation of regional wheat adaptation to climate change
Bustos-Korts Daniela,
Boer Martin P,
Chenu Karine,
Zheng Bangyou,
Chapman Scott,
van Eeuwijk Fred A,
Messina Carlos, Long Stephen P
in silico Plants. 2021 3(2).
Heterosis for protein, digestibility, fiber, and water soluble carbohydrates in nine sources of orchardgrass germplasm
Robins Joseph G.,
Bushman B. Shaun,
Escribano Sandra, Jensen Kevin B.
Euphytica. 2015 204(3). p.503
Combining self-organizing maps and biplot analysis to preselect maize phenotypic components based on UAV high-throughput phenotyping platform
Han Liang,
Yang Guijun,
Dai Huayang,
Yang Hao,
Xu Bo,
Li Heli,
Long Huiling,
Li Zhenhai,
Yang Xiaodong, Zhao Chunjiang
Plant Methods. 2019 15(1).
Phenomics (2015)
Phenotypic and genetic dissection of component traits for early vigour in rice using plant growth modelling, sugar content analyses and association mapping
Rebolledo M. C.,
Dingkuhn M.,
Courtois B.,
Gibon Y.,
Clément-Vidal A.,
Cruz D. F.,
Duitama J.,
Lorieux M., Luquet D.
Journal of Experimental Botany. 2015 66(18). p.5555
Breeding crops for drought-affected environments and improved climate resilience
Cooper Mark, Messina Carlos D
The Plant Cell. 2023 35(1). p.162
Using a novel PLS approach for envirotyping of barley phenology and adaptation
Porker K.,
Coventry S.,
Fettell NA,
Cozzolino D., Eglinton J.
Field Crops Research. 2020 246 p.107697
Genomic Signatures of Adaptation to a Precipitation Gradient in Nigerian Sorghum
Olatoye Marcus O,
Hu Zhenbin,
Maina Fanna, Morris Geoffrey P
G3 Genes|Genomes|Genetics. 2018 8(10). p.3269
