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RESEARCH ARTICLE
Contents Vol 75(8)

Multi-environment analysis to unravel bread wheat core collection to identify donors for grain quality, phenology, and yield traits

Jyoti Kumari https://orcid.org/0000-0002-6979-0982 A * , R. K. Gupta B , Arun Gupta B , B. K. Honrao C , S. S. Vaish D , Achla Sharma https://orcid.org/0000-0002-7932-3499 E , Sewa Ram B , Gopalareddy Krishnappa B , Shivani Sharma A , Rakesh Bhardwaj A , Sherry Rachel Jacob A , Sundeep Kumar A , V. K. Vikas F , Sushil Pandey A , J. C. Rana G , Ashok Kumar A , G. P. Singh A B and Kuldeep Singh A H
+ Author Affiliations
- Author Affiliations

A ICAR-National Bureau of Plant Genetic Resources, Pusa Campus, New Delhi, India.

B ICAR-Indian Institute of Wheat & Barley Research, Karnal, India.

C Agharkar Research Institute, Pune, Maharashtra, India.

D Banaras Hindu University, Varanasi, Uttar Pradesh, India.

E Punjab Agricultural University, Ludhiana, Punjab, India.

F ICAR-Indian Agricultural Research Institute, RS, Wellington, Tamil Nadu, India.

G The Alliance of Bioversity International and CIAT (CGIAR), Asia–India Office, New Delhi, India.

H The International Crops Research Institute for the Semi-Arid Tropics, Hyderabad, India.

* Correspondence to: Jyoti.kumari@icar.gov.in

Handling Editor: Fernanda Dreccer

Crop & Pasture Science 75, CP22340 https://doi.org/10.1071/CP22340
Submitted: 20 April 2022  Accepted: 11 July 2024  Published: 7 August 2024

© 2024 The Author(s) (or their employer(s)). Published by CSIRO Publishing

Abstract

Context

Untapped wheat germplasm is conserved globally in genebanks. Evaluating it for grain quality and yield will help achieve nutritional and food security.

Aims

We aimed to evaluate the Indian National Genebank bread wheat core collection for grain quality, phenology and yield, to identify potential donor germplasm.

Methods

1485 accessions were grown at three locations in India during winter 2015–2016 to evaluate test weight, grain protein content, sedimentation value (SV), days to spike emergence, days to maturity, grain yield and thousand-grain weight (TGW).

Key results

Best linear unbiased estimates indicated mean protein of 13.3%, 14.7%, and 13.0% and yield of 73.0 g/m, 70.9 g/m and 66.6 g/m at Ludhiana, Pune, and Varanasi locations, respectively. The SV ranged from 26.6–65.6 mL and 17.7–66.6 mL at the Ludhiana and Pune locations, respectively. The top 10 accessions were identified for all the studied traits. Six high protein accessions, with consistent protein of more than 15% along with moderate Thousand-grain and test weights were further validated and assessed for stability across environments. Grain protein content was correlated negatively with thousand-grain weight and yield, but positively with days to maturity and spike emergence.

Conclusion

The identified accessions with high trait values could be used in future breeding programmes to develop high yielding biofortified cultivars to address protein malnutrition and also cultivars with suitable end-product quality.

Implications

The diversity in a core collection can be exploited to develop modern high yielding bread wheat cultivars with higher grain protein content and suitable end-product quality.

Keywords: bread wheat, core set, genebank, grain yield, multi environmental trial, protein content, stability, Triticum aestivum.

References

AACC (2000) ‘Approved methods of the American Association of cereal chemists.’ (AACC, International: St. Paul, MN, USA)

Axford DWE, McDermott EE, Redman DG (1978) Small-scale tests of bread-making quality. Milling Feed and Fertilizer 66, 18-20.
| Google Scholar |

Bhatia CR (1975) Criteria for early generation selection in wheat improvement programmes for improving protein productivity. Euphytica 24, 789-794.
| Google Scholar |

Boggini G, Doust MA, Annicchiarico P, Pecetti2 L (1997) Yielding ability, yield stability, and quality of exotic durum wheat germplasm in Sicily. Plant Breeding 116, 541-545.
| Crossref | Google Scholar |

Cullis BR, Smith AB, Coombes NE (2006) On the design of early generation variety trials with correlated data. Journal of Agricultural, Biological, and Environmental Statistics 11, 381-393.
| Crossref | Google Scholar |

De Santis MA, Giuliani MM, Giuzio L, De Vita P, Flagella Z (2018) Assessment of grain protein composition in old and modern Italian durum wheat genotypes. Italian Journal of Agronomy 13, 40-43.
| Crossref | Google Scholar |

Distelfeld A, Cakmak I, Peleg Z, Ozturk L, Yazici AM, Budak H, Saranga Y, Fahima T (2007) Multiple QTL-effects of wheat Gpc-B1 locus on grain protein and micronutrient concentrations. Physiologia Plantarum 129, 635-643.
| Crossref | Google Scholar |

Dotlačil L, Hermuth J, Stehno Z, Dvořáček V, Bradová J, Leišová L (2010) How can wheat landraces contribute to present breeding? Czech Journal of Genetics and Plant Breeding 46, S70-S74.
| Crossref | Google Scholar |

Drikvand R, Bihamta MR, Najafian G, Ebrahimi A (2013) Kernel quality association and path analysis in bread wheat. International Journal of Biology 5(3), 73-79.
| Crossref | Google Scholar |

Iqbal M, Moakhar NP, Strenzke K, Haile T, Pozniak C, Hucl P, et al. (2016) Genetic improvement in grain yield and other traits of wheat grown in Western Canada. Crop Science 56, 613-624.
| Crossref | Google Scholar |

Jackson ML (1973) ‘Soil chemical analysis.’ (Prentice Hall of India Private Limited: New Delhi, India)

Johnson HW, Robinson HF, Comstock RE (1955) Estimates of genetic and environmental variability in soybeans. Agronomy Journal 47(7), 314-318.
| Crossref | Google Scholar |

Joppa LR, Cantrell RG (1990) Chromosomal location of genes for grain protein content of wild tetraploid wheat. Crop Science 30, 1059-1064.
| Crossref | Google Scholar |

Khan MMH, Rafii MY, Ramlee SI, Jusoh M, Al Mamun M (2021) AMMI and GGE biplot analysis for yield performance and stability assessment of selected Bambara groundnut (Vigna subterranea L. Verdc.) genotypes under the multi-environmental trials (METs). Scientific Reports 11(1), 22791.
| Crossref | Google Scholar |

Kramer T (1979) Environmental and genetic variation for protein content in winter wheat (Triticum aestivum L.). Euphytica 28, 209-218.
| Crossref | Google Scholar |

Ladizinsky G (1998) ‘Plant evolution under domestication.’ (Kluwer Academic Publishers: Netherlands)

Mattei J, Malik V, Wedick NM, Hu FB, Spiegelman D, Willett WC, Campos H, Global Nutrition Epidemiologic Transition Initiative (2015) Reducing the global burden of type 2 diabetes by improving the quality of staple foods: the Global Nutrition and Epidemiologic Transition Initiative. Globalization and Health 11, 23.
| Crossref | Google Scholar | PubMed |

Mohan D, Gupta RK (2013) Analysing grain properties of Indian bread-wheat cultivars for defining route to end-product quality and key attributes for selection. Indian Journal of Genetics and Plant Breeding 73, 355-362.
| Crossref | Google Scholar |

Mosleth EF, Lillehammer M, Pellny TK, Wood AJ, Riche AB, Hussain A, Griffiths S, Hawkesford MJ, Shewry PR (2020) Genetic variation and heritability of grain protein deviation in European wheat genotypes. Field Crops Research 255, 107896.
| Crossref | Google Scholar | PubMed |

Nadolska-Orczyk A, Gasparis S, Orczyk W (2009) The determinants of grain texture in cereals. Journal of Applied Genetics 50, 185-197.
| Crossref | Google Scholar | PubMed |

Nazco R, Villegas D, Ammar K, Peña RJ, Moragues M, Royo C (2012) Can Mediterranean durum wheat landraces contribute to improved grain quality attributes in modern cultivars? Euphytica 185, 1-17.
| Crossref | Google Scholar |

Olmos S, Distelfeld A, Chicaiza O, Schlatter AR, Fahima T, Echenique V, et al. (2003) Precise mapping of a locus affecting grain protein content in durum wheat. Theoretical and Applied Genetics 107, 1243-1251.
| Crossref | Google Scholar | PubMed |

Oral E, Kendal E, Doğan Y (2018) Selection the best barley genotypes to multi and special environments by AMMI and GGE biplot models. Fresenius Environmental Bulletin 27, 5179-5187.
| Google Scholar |

Pandey A, Khan MK, Hakki EE, Thomas G, Hamurcu M, Gezgin S, et al. (2016) Assessment of genetic variability for grain nutrients from diverse regions: potential for wheat improvement. SpringerPlus 5, 1912.
| Crossref | Google Scholar | PubMed |

Panghal A, Chhikara N, Khatkar BS (2019) Characterisation of Indian wheat varieties for chapatti (flat bread) quality. Journal of the Saudi Society of Agricultural Sciences 18, 107-111.
| Crossref | Google Scholar |

Pasha I, Anjum FM, Butt MS, Sultan JI (2007) Gluten quality prediction and correlation studies in spring wheats. Journal of Food Quality 30, 438-449.
| Crossref | Google Scholar |

Peña RJ, Trethowan R, Pfeiffer WH, Ginkel MV (2002) Quality (End-Use) improvement in wheat. Journal of Crop Production 5, 1-37.
| Crossref | Google Scholar |

Peterson CJ, Graybosch RA, Baenziger PS, Grombacher AW (1992) Genotype and environment effects on quality characteristics of hard red winter wheat. Crop Science 32, 98-103.
| Crossref | Google Scholar |

Phogat BS, Kumar S, Kumari J, Kumar N, Pandey AC, Singh TP, Kumar S, et al. (2021) Characterization of wheat germplasm conserved in the Indian National Genebank and establishment of a composite core collection. Crop Science 61, 604-620.
| Crossref | Google Scholar |

Piepho H-P, Möhring J (2007) Computing heritability and selection response from unbalanced plant breeding trials. Genetics 177, 1881-1888.
| Crossref | Google Scholar | PubMed |

Pomeranz Y, Williams PC (1990) Wheat hardness: its genetic, structural, and biochemical background, measurement, and significance. In ‘Advances in cereal science and technology’. (Ed. Y Pomeranz) pp. 471–548. (Washington State University: WA, USA)

Prasad M, Kumar N, Kulwal P, Röder M, Balyan H, Dhaliwal H, Gupta P (2003) QTL analysis for grain protein content using SSR markers and validation studies using NILs in bread wheat. Theoretical and Applied Genetics 106, 659-667.
| Crossref | Google Scholar | PubMed |

Protic R, Miric M, Protic N, Jovanovic Ž, Jovin P (2007) The test weight of several winter wheat genotypes under various sowing dates and nitrogen fertilizer rates. Romanian Agricultural Research 24, 43-46 Available at https://new.incda-fundulea.ro/images/rar/nr24/24.9.pdf.
| Google Scholar |

Rakshit S, Ganapathy KN, Gomashe SS, Swapna M, More A, Gadakh SR, Ghorade RB, Kajjidoni ST, Solanki BG, Biradar BD, Prabhakar (2014) GGE biplot analysis of genotype × environment interaction in rabi grain sorghum [Sorghum bicolor (L.) Moench]. Indian Journal of Genetics and Plant Breeding 74, 558-563.
| Crossref | Google Scholar |

Ram S, Kumar S, Gupta OP, Pandey V, Singh GP (2021) All India Coordinated Research project on Wheat and Barley, Progress Report, Quality, 2020-21. IIWBR, Karnal, p. 145

Rharrabti Y, Villegas D, Garcia Del Moral LF, Aparicio N, Elhani S, Royo C (2001) Environmental and genetic determination of protein content and grain yield in durum wheat under Mediterranean conditions. Plant Breeding 120, 381-388.
| Crossref | Google Scholar |

Ruisi P, Ingraffia R, Urso V, Giambalvo D, Alfonzo A, Corona O, Settanni L, Frenda AS (2021) Influence of grain quality, semolinas and baker’s yeast on bread made from old landraces and modern genotypes of Sicilian durum wheat. Food Research International 140, 110029.
| Crossref | Google Scholar | PubMed |

Ruswandi D, Syafii M, Maulana H, Ariyanti M, Indriani NP, Yuwariah Y (2021) GGE biplot analysis for stability and adaptability of maize hybrids in western region of Indonesia. International Journal of Agronomy 2021, 2166022.
| Crossref | Google Scholar |

SAS Institute (2011) The SAS system for Windows (Release 9.3) [Software]. SAS Institute, Cary, NC, USA.

Shewry PR, Hey SJ (2015) The contribution of wheat to human diet and health. Food and Energy Security 4, 178-202.
| Crossref | Google Scholar | PubMed |

Singh C, Gupta A, Gupta V, Kumar P, Sendhil R, Tyagi BS, et al. (2019) Genotype x environment interaction analysis of multi-environment wheat trials in India using AMMI and GGE biplot models. Crop Breeding and Applied Biotechnology 19(3), 309-318.
| Crossref | Google Scholar |

Suprayogi Y, Pozniak CJ, Clarke FR, Clarke JM, Knox RE, Singh AK (2009) Identification and validation of quantitative trait loci for grain protein concentration in adapted Canadian durum wheat populations. Theoretical and Applied Genetics 119, 437-448.
| Crossref | Google Scholar | PubMed |

Suresh , Bishnoi OP (2020) GGE biplot based stability analysis of durum wheat genotypes using statistical package GGEBiplotGUI. International Journal of Agriculture Environment and Biotechnology 13(2), 149-153.
| Crossref | Google Scholar |

Symko S (1999) From a single seed. Agriculture and Agri-Food Canada. p. 31

Tabbita F, Lewis S, Vouilloz JP, Ortega MA, Kade M, Abbate PE, Barneix AJ (2013) Effects of the Gpc-B1 locus on high grain protein content introgressed into Argentinean wheat germplasm. Plant Breeding 132, 48-52.
| Crossref | Google Scholar |

Tanin MJ, Sharma A, Saini DK, Singh S, Kashyap L, Srivastava P, Mavi GS, Kaur S, Kumar V, Kumar V, Grover G, Chhuneja P, Sohu VS (2022) Ascertaining yield and grain protein content stability in wheat genotypes having the Gpc-B1 gene using univariate, multivariate, and correlation analysis. Frontiers in Genetics 13, 1001904.
| Crossref | Google Scholar |

Turnbull K-M, Rahman S (2002) Endosperm texture in wheat. Journal of Cereal Science 36, 327-337.
| Crossref | Google Scholar |

Uauy C, Distelfeld A, Fahima T, Blechl A, Dubcovsky J (2006) A NAC gene regulating senescence improves grain protein, zinc, and iron content in wheat. Science 314, 1298-1301.
| Crossref | Google Scholar | PubMed |

Upadhyaya HD, Pundir RPS, Gowda CLL, Gopal Reddy V, Singh S (2009a) Establishing a core collection of foxtail millet to enhance the utilization of germplasm of an underutilized crop. Plant Genetic Resources 7, 177-184.
| Crossref | Google Scholar |

Upadhyaya HD, Pundir RPS, Dwivedi SL, Gowda CLL (2009b) Minicore collections for efficient utilization of plant genetic resources in crop improvement programs. Information Bull. No. 78. International Crops Research Institute for the Semi-Arid Tropics, Patancheru, Andhra Pradesh, India. p. 52.

Verma A, Chatrath R, Sharma I (2015) AMMI and GGE biplots for G×E analysis of wheat genotypes under rain fed conditions in central zone of India. Journal of Applied and Natural Sciences 7(2), 656-661.
| Crossref | Google Scholar |

Vogel KP, Johnson VA, Mattern PJ (1976) Protein and lysine content of grain, endosperm, and bran of wheats from the USDA World Wheat collection. Crop Science 16, 655-660.
| Crossref | Google Scholar |

Wang W-D, Gu Y-H, Qin G-Y, Huo Y-P (2007) Prediction of protein content of intact wheat seeds with near infrared reflectance spectroscopy (NIRS). Guang Pu Xue Yu Guang Pu Fen Xi 27, 697-701.
| Google Scholar | PubMed |

Wei T, Simko V, Levy M, Xie Y, Jin Y, Zemla J (2017) R package “corrplot”: visualization of a Correlation Matrix. Statistician 56, 316-324.
| Google Scholar |

Welch RM, Graham RD (2004) Breeding for micronutrients in staple food crops from a human nutrition perspective. Journal of Experimental Botany 55, 353-364.
| Crossref | Google Scholar | PubMed |

Yan W (2001) GGEbiplot – a Windows application for graphical analysis of multienvironment trial data and other types of two-way data. Agronomy Journal 93, 1111-1118.
| Crossref | Google Scholar |

Yan W, Tinker NA (2006) Biplot analysis of multi-environment trial data: principles and applications. Canadian Journal of Plant Science 86, 623-645.
| Crossref | Google Scholar |

Zilić S, Barać M, Pešić M, Dodig D, Ignjatović-Micić D (2011) Characterization of proteins from grain of different bread and durum wheat genotypes. International Journal of Molecular Sciences 12(9), 5878-5894.
| Crossref | Google Scholar |