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Potential benefits of drought and heat tolerance in groundnut for adaptation to climate change in India and West Africa

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  • Piara Singh
  • S. Nedumaran
  • B. Ntare
  • K. Boote
  • N. Singh
  • K. Srinivas
  • M. Bantilan

Abstract

Climate change is projected to intensify drought and heat stress in groundnut (Arachis hypogaea L.) crop in rainfed regions. This will require developing high yielding groundnut cultivars that are both drought and heat tolerant. The crop growth simulation model for groundnut (CROPGRO-Groundnut model) was used to quantify the potential benefits of incorporating drought and heat tolerance and yield-enhancing traits into the commonly grown cultivar types at two sites each in India (Anantapur and Junagadh) and West Africa (Samanko, Mali and Sadore, Niger). Increasing crop maturity by 10 % increased yields up to 14 % at Anantapur, 19 % at Samanko and sustained the yields at Sadore. However at Junagadh, the current maturity of the cultivar holds well under future climate. Increasing yield potential of the crop by increasing leaf photosynthesis rate, partitioning to pods and seed-filling duration each by 10 % increased pod yield by 9 to 14 % over the baseline yields across the four sites. Under current climates of Anantapur, Junagadh and Sadore, the yield gains were larger by incorporating drought tolerance than heat tolerance. Under climate change the yield gains from incorporating both drought and heat tolerance increased to 13 % at Anantapur, 12 % at Junagadh and 31 % at Sadore. At the Samanko site, the yield gains from drought or heat tolerance were negligible. It is concluded that different combination of traits will be needed to increase and sustain the productivity of groundnut under climate change at the target sites and the CROPGRO-Groundnut model can be used for evaluating such traits. Copyright Springer Science+Business Media Dordrecht 2014

Suggested Citation

  • Piara Singh & S. Nedumaran & B. Ntare & K. Boote & N. Singh & K. Srinivas & M. Bantilan, 2014. "Potential benefits of drought and heat tolerance in groundnut for adaptation to climate change in India and West Africa," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 19(5), pages 509-529, June.
  • Handle: RePEc:spr:masfgc:v:19:y:2014:i:5:p:509-529
    DOI: 10.1007/s11027-012-9446-7
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    References listed on IDEAS

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    1. Boote, K. J. & Kropff, M. J. & Bindraban, P. S., 2001. "Physiology and modelling of traits in crop plants: implications for genetic improvement," Agricultural Systems, Elsevier, vol. 70(2-3), pages 395-420.
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    Cited by:

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    2. Dilys S. MacCarthy & Myriam Adam & Bright S. Freduah & Benedicta Yayra Fosu-Mensah & Peter A. Y. Ampim & Mouhamed Ly & Pierre S. Traore & Samuel G. K. Adiku, 2021. "Climate Change Impact and Variability on Cereal Productivity among Smallholder Farmers under Future Production Systems in West Africa," Sustainability, MDPI, vol. 13(9), pages 1-22, May.
    3. Ma, L. & Ahuja, L.R. & Islam, A. & Trout, T.J. & Saseendran, S.A. & Malone, R.W., 2017. "Modeling yield and biomass responses of maize cultivars to climate change under full and deficit irrigation," Agricultural Water Management, Elsevier, vol. 180(PA), pages 88-98.
    4. Kothari, Kritika & Ale, Srinivasulu & Attia, Ahmed & Rajan, Nithya & Xue, Qingwu & Munster, Clyde L., 2019. "Potential climate change adaptation strategies for winter wheat production in the Texas High Plains," Agricultural Water Management, Elsevier, vol. 225(C).
    5. Islam, AFM Tariqul & Islam, AKM Saiful & Islam, GM Tarekul & Bala, Sujit Kumar & Salehin, Mashfiqus & Choudhury, Apurba Kanti & Dey, Nepal C. & Hossain, Akbar, 2022. "Adaptation strategies to increase water productivity of wheat under changing climate," Agricultural Water Management, Elsevier, vol. 264(C).
    6. Adam, Myriam & MacCarthy, Dilys Sefakor & Traoré, Pierre C. Sibiry & Nenkam, Andree & Freduah, Bright Salah & Ly, Mouhamed & Adiku, Samuel G.K., 2020. "Which is more important to sorghum production systems in the Sudano-Sahelian zone of West Africa: Climate change or improved management practices?," Agricultural Systems, Elsevier, vol. 185(C).
    7. Lamsal, Abhishes & Welch, S.M. & Jones, J.W. & Boote, K.J. & Asebedo, Antonio & Crain, Jared & Wang, Xu & Boyer, Will & Giri, Anju & Frink, Elizabeth & Xu, Xuan & Gundy, Garrison & Ou, Junjun & Arachc, 2017. "Efficient crop model parameter estimation and site characterization using large breeding trial data sets," Agricultural Systems, Elsevier, vol. 157(C), pages 170-184.
    8. Robinson, Sherman & Mason d'Croz, Daniel & Islam, Shahnila & Cenacchi, Nicola & Creamer, Bernardo & Gueneau, Arthur & Hareau, Guy & Kleinwechter, Ulrich & Mottaleb, Khondoker & Nedumaran, Swamikannu &, 2015. "Climate change adaptation in agriculture: Ex ante analysis of promising and alternative crop technologies using DSSAT and IMPACT:," IFPRI discussion papers 1469, International Food Policy Research Institute (IFPRI).

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