Free Standard AU & NZ Shipping For All Book Orders Over $80!
Register      Login
Crop and Pasture Science Crop and Pasture Science Society
Plant sciences, sustainable farming systems and food quality
RESEARCH ARTICLE (Open Access)

Canopy and reproductive development in mungbean (Vigna radiata)

Geetika Geetika https://orcid.org/0000-0001-7070-698X A * , Marisa Collins https://orcid.org/0000-0001-6450-3078 B , Vijaya Singh C , Graeme Hammer C , Vincent Mellor https://orcid.org/0000-0002-5571-9114 D , Millicent Smith A D and Rao C. N. Rachaputi A
+ Author Affiliations
- Author Affiliations

A Queensland Alliance for Agriculture and Food Innovation, The University of Queensland, Gatton, Qld 4343, Australia.

B Animal, Plant and Soil Sciences, La Trobe University, Melbourne, Vic. 3086, Australia.

C Queensland Alliance for Agriculture and Food Innovation, The University of Queensland, St Lucia, Qld 4067, Australia.

D School of Agriculture and Food Sciences, The University of Queensland, Gatton, Qld 4343, Australia.

* Correspondence to: geetika.geetika@uq.net.edu.au

Handling Editor: Matthew Denton

Crop & Pasture Science 73(10) 1142-1155 https://doi.org/10.1071/CP21209
Submitted: 21 March 2021  Accepted: 22 March 2022   Published: 10 June 2022

© 2022 The Author(s) (or their employer(s)). Published by CSIRO Publishing. This is an open access article distributed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (CC BY-NC-ND)

Abstract

Context: Mungbean (Vigna radiata (L.) Wilczek) is an important grain legume for food, feed, and green manure. Mungbean yield is highly variable due to fluctuating temperature and unpredictable rainfall.

Aims: To improve yield stability, it is critical to utilise a model that can simulate mungbean phenology, biomass, and yield accurately.

Methods: A thorough understanding of the physiological determinants of growth and yield is required to advance existing mungbean crop modelling capability. Currently, there is limited understanding of the physiological determinants of canopy and reproductive development and their variation in mungbean germplasm. Two experiments (controlled and field environments) were conducted at Gatton, Queensland, in 2018–19. Six Australian mungbean genotypes and one black gram (Vigna mungo L.) were grown under non-limiting conditions. Plant phenotypic traits (canopy development, time to first, 50% flowering, duration of flowering and podding, flower appearance, pod addition rates) were recorded.

Key results: Genotypes M10403 and Satin II had significantly higher leaf appearance rate (LAR). Genotypes with a greater LAR had higher number of leaves but lower individual leaf area. Genotypes varied significantly in time to first and 50% flowering, with Onyx-AU (black gram) and Celera II-AU flowering earliest. Flowering and podding rates, and duration of these phenological phases varied among genotypes. Total plant leaf area (TPLA) approached its maximum at mid-podding stage.

Implications: This study quantified the key phenotypic and physiological relationships associated with canopy and reproductive development, critical for the improvement of mungbean crop modelling required to accurately simulate growth and development and inform possible canopy constraints that are limiting mungbean productivity.

Keywords: black gram, flower appearance rate, green gram, leaf area development, pod addition rate, reproductive duration, source-sink dynamics, thermal time.


References

Akpapunam M (1996) Mung bean (Vigna radiata (L.) Wilczek). In ‘Food and Feed from Legumes and Oilseeds.’ (Eds E Nwokolo, J Smartt) pp. 209–215. (Springer: Boston, MA, USA)

Alam MM, Hammer GL, Oosterom EJ, Cruickshank AW, Hunt CH, Jordan DR (2014) A physiological framework to explain genetic and environmental regulation of tillering in sorghum. New Phytologist 203, 155–167.
A physiological framework to explain genetic and environmental regulation of tillering in sorghum.Crossref | GoogleScholarGoogle Scholar | 24665928PubMed |

Australian Bureau of Metrology (2021) Past weather data: temperature, rainfall and solar radiation. Available at http://www.bom.gov.au

Bruening WP, Egli DB (1999) Relationship between photosynthesis and seed number at phloem isolated nodes in soybean. Crop Science 39, 1769–1775.
Relationship between photosynthesis and seed number at phloem isolated nodes in soybean.Crossref | GoogleScholarGoogle Scholar |

Chauhan YS, Rachaputi RCN (2014) Defining agro-ecological regions for field crops in variable target production environments: a case study on mungbean in the northern grains region of Australia. Agricultural and Forest Meteorology 194, 207–217.
Defining agro-ecological regions for field crops in variable target production environments: a case study on mungbean in the northern grains region of Australia.Crossref | GoogleScholarGoogle Scholar |

Chauhan Y, Williams R (2018) Physiological and agronomic strategies to increase mungbean yield in climatically variable environments of Northern Australia. Agronomy 8, 83
Physiological and agronomic strategies to increase mungbean yield in climatically variable environments of Northern Australia.Crossref | GoogleScholarGoogle Scholar |

Clifford PE (1979) Source limitation of sink yield in mung beans. Annals of Botany 43, 397–399.
Source limitation of sink yield in mung beans.Crossref | GoogleScholarGoogle Scholar |

Cohen D (1976) The optimal timing of reproduction. The American Naturalist 110, 801–807.
The optimal timing of reproduction.Crossref | GoogleScholarGoogle Scholar |

Egli DB, Bruening WP (2002a) Flowering and fruit set dynamics at phloem-isolated nodes in soybean. Field Crops Research 79, 9–19.
Flowering and fruit set dynamics at phloem-isolated nodes in soybean.Crossref | GoogleScholarGoogle Scholar |

Egli DB, Bruening WP (2002b) Synchronous flowering and fruit set at phloem-isolated nodes in soybean. Crop Science 42, 1535–1540.
| Crossref |

Ellis RH, Lawn RJ, Summerfield RJ, Qi A, Roberts EH, Chay PM, Brouwer JB, Rose JL, Yeates SJ, Sandover S (1994) Towards the reliable prediction of time to flowering in six annual crops. IV. Cultivated and wild mung bean. Experimental Agriculture 30, 31–43.
Towards the reliable prediction of time to flowering in six annual crops. IV. Cultivated and wild mung bean.Crossref | GoogleScholarGoogle Scholar |

Halilou O, Hissene HM, Clavijo Michelangeli JA, Hamidou F, Sinclair TR, Soltani A, Mahamane S, Vadez V (2016) Determination of coefficient defining leaf area development in different genotypes, plant types and planting densities in peanut (Arachis hypogeae L.). Field Crops Research 199, 42–51.
Determination of coefficient defining leaf area development in different genotypes, plant types and planting densities in peanut (Arachis hypogeae L.).Crossref | GoogleScholarGoogle Scholar | 27917017PubMed |

Hammer GL, Carberry PS, Muchow RC (1993) Modelling genotypic and environmental control of leaf area dynamics in grain sorghum. I. Whole plant level. Field Crops Research 33, 293–310.
Modelling genotypic and environmental control of leaf area dynamics in grain sorghum. I. Whole plant level.Crossref | GoogleScholarGoogle Scholar |

Hammer GL, van Oosterom E, McLean G, Chapman SC, Broad I, Harland P, Muchow RC (2010) Adapting APSIM to model the physiology and genetics of complex adaptive traits in field crops. Journal of Experimental Botany 61, 2185–2202.
Adapting APSIM to model the physiology and genetics of complex adaptive traits in field crops.Crossref | GoogleScholarGoogle Scholar | 20400531PubMed |

Hammer GL, McLean G, Oosterom E, Chapman S, Zheng B, Wu A, Doherty A, Jordan D (2020) Designing crops for adaptation to the drought and high-temperature risks anticipated in future climates. Crop Science 60, 605–621.
Designing crops for adaptation to the drought and high-temperature risks anticipated in future climates.Crossref | GoogleScholarGoogle Scholar |

Imrie BC, Lawn RJ (1990) Time to flowering of mung bean (Vigna radiata) genotypes and their hybrids in response to photoperiod and temperature. Experimental Agriculture 26, 307–318.
Time to flowering of mung bean (Vigna radiata) genotypes and their hybrids in response to photoperiod and temperature.Crossref | GoogleScholarGoogle Scholar |

Jones CA, Kiniry JR (1986) ‘CERES-maize: a simulation model of maize growth and development.’ (Texas A&M: College Station, USA)

Kaur R, Bains TS, Bindumadhava H, Nayyar H (2015) Responses of mungbean (Vigna radiata L.) genotypes to heat stress: effects on reproductive biology, leaf function and yield traits. Scientia Horticulturae 197, 527–541.
Responses of mungbean (Vigna radiata L.) genotypes to heat stress: effects on reproductive biology, leaf function and yield traits.Crossref | GoogleScholarGoogle Scholar |

Khattak GSS, Haq MA, Ashraf M, Hassan S (2002) Yield and yield components at various flower flushes in mungbean (Vigna radiata (L.) Wilczek). Breeding Science 52, 61–63.
Yield and yield components at various flower flushes in mungbean (Vigna radiata (L.) Wilczek).Crossref | GoogleScholarGoogle Scholar |

Kim HK, Luquet D, van Oosterom E, Dingkuhn M, Hammer G (2010a) Regulation of tillering in sorghum: genotypic effects. Annals of Botany 106, 69–78.
Regulation of tillering in sorghum: genotypic effects.Crossref | GoogleScholarGoogle Scholar | 20430784PubMed |

Kim HK, van Oosterom E, Dingkuhn M, Luquet D, Hammer G (2010b) Regulation of tillering in sorghum: environmental effects. Annals of Botany 106, 57–67.
Regulation of tillering in sorghum: environmental effects.Crossref | GoogleScholarGoogle Scholar | 20421230PubMed |

Lawn RJ (1979) Agronomic studies on Vigna spp. in south-eastern Queensland. I. Phenological response of cultivars to sowing date. Australian Journal of Agricultural Research 30, 855–870.
Agronomic studies on Vigna spp. in south-eastern Queensland. I. Phenological response of cultivars to sowing date.Crossref | GoogleScholarGoogle Scholar |

Lenth RV (2021) emmeans: estimated marginal means aka least-squares means. R package version 1.4.2. Available at https://CRAN.R-project.org/package=emmeans

Littleton EJ, Dennett MD, Elston J, Monteith JL (1979) The growth and development of cowpeas (Vigna unguiculata) under tropical field conditions: 1. Leaf area. The Journal of Agricultural Science 93, 291–307.
The growth and development of cowpeas (Vigna unguiculata) under tropical field conditions: 1. Leaf area.Crossref | GoogleScholarGoogle Scholar |

Ludewig F, Flügge U-I (2013) Role of metabolite transporters in source-sink carbon allocation. Frontiers in Plant Science 4, 231
Role of metabolite transporters in source-sink carbon allocation.Crossref | GoogleScholarGoogle Scholar | 23847636PubMed |

Luquet D, Dingkuhn M, Kim H, Tambour L, Clement-Vidal A (2006) EcoMeristem, a model of morphogenesis and competition among sinks in rice. 1. Concept, validation and sensitivity analysis. Functional Plant Biology 33, 309–323.
EcoMeristem, a model of morphogenesis and competition among sinks in rice. 1. Concept, validation and sensitivity analysis.Crossref | GoogleScholarGoogle Scholar | 32689238PubMed |

Mitra S, Ghildiyal MC (1988) Photosynthesis and assimilate partitioning in mungbean in response to source-sink alteration. Journal of Agronomy and Crop Science 160, 303–308.
Photosynthesis and assimilate partitioning in mungbean in response to source-sink alteration.Crossref | GoogleScholarGoogle Scholar |

Mondal MMA, Fakir M, Juraimi A, Hakim M, Ismal M, Shamsuddoha A (2011) Effects of flowering behavior and pod maturity synchrony on yield of mungbean [Vigna radiata (L.) Wilczek]. Australian Journal of Crop Science 5, 945–953.

Morrison MJ, McVetty PBE (1991) Leaf appearance rate of summer rape. Canadian Journal of Plant Science 71, 405–412.
Leaf appearance rate of summer rape.Crossref | GoogleScholarGoogle Scholar |

Muchow RC (1985) Phenology, seed yield and water use of grain legumes grown under different soil water regimes in a semi-arid tropical environment. Field Crops Research 11, 81–97.
Phenology, seed yield and water use of grain legumes grown under different soil water regimes in a semi-arid tropical environment.Crossref | GoogleScholarGoogle Scholar |

Muchow RC, Robertson MJ, Pengelly BC (1993) Accumulation and partitioning of biomass and nitrogen by soybean, mungbean and cowpea under contrasting environmental conditions. Field Crops Research 33, 13–36.
Accumulation and partitioning of biomass and nitrogen by soybean, mungbean and cowpea under contrasting environmental conditions.Crossref | GoogleScholarGoogle Scholar |

Mwanamwenge J, Siddique KHM, Sedgley RH (1997) Canopy development and light absorption of grain legume species in a short season Mediterranean-type environment. Journal of Agronomy and Crop Science 179, 1–7.
Canopy development and light absorption of grain legume species in a short season Mediterranean-type environment.Crossref | GoogleScholarGoogle Scholar |

Nair RM, Yang R-Y, Easdown WJ, Thavarajah D, Thavarajah P, Hughes Jd’A, Keatinge JDH (Dyno) (2013) Biofortification of mungbean (Vigna radiata) as a whole food to enhance human health. Journal of the Science of Food and Agriculture 93, 1805–1813.
Biofortification of mungbean (Vigna radiata) as a whole food to enhance human health.Crossref | GoogleScholarGoogle Scholar | 23426879PubMed |

Nair RM, Schafleitner R, Easdown W, Ebert A, Hanson P, Hughes Jd’A, Keatinge JDH (2014) Legume improvement program at AVRDC – the world vegetable center: impact and future prospects. Ratarstvo i Povrtarstvo 51, 55–61.
Legume improvement program at AVRDC – the world vegetable center: impact and future prospects.Crossref | GoogleScholarGoogle Scholar |

Nelder J (2017) ‘Genstat.’ (VSN International: UK)

Overman AR, Scholtz III RV (2002) Growth response models. In ‘Mathematical models of crop growth and yield’. (Ed. M Dekker) pp. 1–12. (Marcel Dekker: New York, NY, USA)

Pang J, Turner NC, Khan T, Du Y-L, Xiong J-L, Colmer TD, Devilla R, Stefanova K, Siddique KHM (2017) Response of chickpea (Cicer arietinum L.) to terminal drought: leaf stomatal conductance, pod abscisic acid concentration, and seed set. Journal of Experimental Botany 68, 1973–1985.
Response of chickpea (Cicer arietinum L.) to terminal drought: leaf stomatal conductance, pod abscisic acid concentration, and seed set.Crossref | GoogleScholarGoogle Scholar | 27099375PubMed |

Pengelly BC, Muchow RC, Blamey FPC (1999) Predicting leaf area development in response to temperature in three tropical annual forage legumes. Australian Journal of Agricultural Research 50, 253–259.
Predicting leaf area development in response to temperature in three tropical annual forage legumes.Crossref | GoogleScholarGoogle Scholar |

Pinheiro JC, Bates DM, DebRoy S, Sarkar D (2021) ‘nlme: linear and nonlinear mixed effects models.’ (Springer: New York, NY, USA)

Profillidis VA, Botzoris GN (2019) Chapter 6 - Trend projection and time series methods. In ‘Modeling of transport demand: analyzing, calculating, and forecasting transport demand’. (Eds VA Profillidis, GN Botzoris) pp. 225–270. (Elsevier: Netherlands)

Queensland Government (2016) Common soil types. Available at https://www.qld.gov.au/environment/land/management/soil/soil-testing/types

R Core Team (2021) ‘R: a language and environment for statistical computing.’ (R Foundation for Statistical Computing: Vienna, Austria)

Rachaputi RCN, Chauhan Y, Douglas C, Martin W, Krosch S, Agius P, King K (2015) Physiological basis of yield variation in response to row spacing and plant density of mungbean grown in subtropical environments. Field Crops Research 183, 14–22.
Physiological basis of yield variation in response to row spacing and plant density of mungbean grown in subtropical environments.Crossref | GoogleScholarGoogle Scholar |

Rachaputi RCN, Sands D, McKenzie K, Agius P, Lehane J, Seyoum S (2019) Eco-physiological drivers influencing mungbean [Vigna radiata (L.) Wilczek] productivity in subtropical Australia. Field Crops Research 238, 74–81.
Eco-physiological drivers influencing mungbean [Vigna radiata (L.) Wilczek] productivity in subtropical Australia.Crossref | GoogleScholarGoogle Scholar |

Ranganathan R, Chauhan YS, Flower DJ, Robertson MJ, Sanetra C, Silim SN (2001) Predicting growth and development of pigeonpea: leaf area development. Field Crops Research 69, 163–172.
Predicting growth and development of pigeonpea: leaf area development.Crossref | GoogleScholarGoogle Scholar |

Ravi Kumar S, Hammer GL, Broad I, Harland P, McLean G (2009) Modelling environmental effects on phenology and canopy development of diverse sorghum genotypes. Field Crops Research 111, 157–165.
Modelling environmental effects on phenology and canopy development of diverse sorghum genotypes.Crossref | GoogleScholarGoogle Scholar |

Rebetzke GJ, Lawn RJ (2006) Adaptive responses of wild mungbean (Vigna radiata ssp. sublobata) to photo-thermal environment. I. Phenology. Australian Journal of Agricultural Research 57, 917–928.
Adaptive responses of wild mungbean (Vigna radiata ssp. sublobata) to photo-thermal environment. I. Phenology.Crossref | GoogleScholarGoogle Scholar |

Robertson MJ, Carberry PS, Lucy M (2000) Evaluation of a new cropping option using a participatory approach with on-farm monitoring and simulation: a case study of spring-sown mungbeans. Australian Journal of Agricultural Research 51, 1–12.
Evaluation of a new cropping option using a participatory approach with on-farm monitoring and simulation: a case study of spring-sown mungbeans.Crossref | GoogleScholarGoogle Scholar |

Robertson MJ, Carberry PS, Huth NI, Turpin JE, Probert ME, Poulton PL, Bell M, Wright GC, Yeates SJ, Brinsmead RB (2002) Simulation of growth and development of diverse legume species in APSIM. Australian Journal of Agricultural Research 53, 429–446.
Simulation of growth and development of diverse legume species in APSIM.Crossref | GoogleScholarGoogle Scholar |

Robertson MJ, Rebetzke GJ, Norton RM (2015) Assessing the place and role of crop simulation modelling in Australia. Crop & Pasture Science 66, 877–893.
Assessing the place and role of crop simulation modelling in Australia.Crossref | GoogleScholarGoogle Scholar |

Sharma L, Priya M, Bindumadhava H, Nair RM, Nayyar H (2016) Influence of high temperature stress on growth, phenology and yield performance of mungbean [Vigna radiata (L.) Wilczek] under managed growth conditions. Scientia Horticulturae 213, 379–391.
Influence of high temperature stress on growth, phenology and yield performance of mungbean [Vigna radiata (L.) Wilczek] under managed growth conditions.Crossref | GoogleScholarGoogle Scholar |

Sinclair TR (1984) Leaf area development in field-grown soybeans. Agronomy Journal 76, 141–146.
Leaf area development in field-grown soybeans.Crossref | GoogleScholarGoogle Scholar |

Smith MR, Veneklaas E, Polania J, Rao IM, Beebe SE, Merchant A (2019) Field drought conditions impact yield but not nutritional quality of the seed in common bean (Phaseolus vulgaris L.). PLoS ONE 14, 1–18.
Field drought conditions impact yield but not nutritional quality of the seed in common bean (Phaseolus vulgaris L.).Crossref | GoogleScholarGoogle Scholar |

Soltani A, Robertson MJ, Mohammad-Nejad Y, Rahemi-Karizaki A (2006) Modeling chickpea growth and development: leaf production and senescence. Field Crops Research 99, 14–23.
Modeling chickpea growth and development: leaf production and senescence.Crossref | GoogleScholarGoogle Scholar |

Swindell RE, Poehlman JM (1978) Inheritance of photoperiod response in mungbean (Vigna radiata [L.] Wilczek). Euphytica 27, 325–333.
Inheritance of photoperiod response in mungbean (Vigna radiata [L.] Wilczek).Crossref | GoogleScholarGoogle Scholar |

Thomas , Robertson MJ, Fukai S, Peoples MB (2004) The effect of timing and severity of water deficit on growth, development, yield accumulation and nitrogen fixation of mungbean. Field Crops Research 86, 67–80.
The effect of timing and severity of water deficit on growth, development, yield accumulation and nitrogen fixation of mungbean.Crossref | GoogleScholarGoogle Scholar |

van Oosterom EJ, Borrell AK, Deifel KS, Hammer GL (2011) Does increased leaf appearance rate enhance adaptation to postanthesis drought stress in sorghum? Crop Science 51, 2728–2740.
Does increased leaf appearance rate enhance adaptation to postanthesis drought stress in sorghum?Crossref | GoogleScholarGoogle Scholar |

Wang E, Martre P, Zhao Z, Ewert F, Maiorano A, Rötter RP, Kimball BA, Ottman MJ, Wall GW, White JW, Reynolds MP, Alderman PD, Aggarwal PK, Anothai J, Basso B, Biernath C, Cammarano D, Challinor AJ, De Sanctis G, Doltra J, Dumont B, Fereres E, Garcia-Vila M, Gayler S, Hoogenboom G, Hunt LA, Izaurralde RC, Jabloun M, Jones CD, Kersebaum KC, Koehler A-K, Liu L, Müller C, Kumar SN, Nendel C, O’Leary G, Olesen JE, Palosuo T, Priesack E, Rezaei EE, Ripoche D, Ruane AC, Semenov MA, Shcherbak I, Stöckle C, Stratonovitch P, Streck T, Supit I, Tao F, Thorburn P, Waha K, Wallach D, Wang Z, Wolf J, Zhu Y, Asseng S (2017) The uncertainty of crop yield projections is reduced by improved temperature response functions. Nature Plants 3, 17102
The uncertainty of crop yield projections is reduced by improved temperature response functions.Crossref | GoogleScholarGoogle Scholar | 28714956PubMed |