Evaluation of Genetic Traits for Improving Productivity and Adaptation of Groundnut to Climate Change in India

Singh, P and Boote, K J and Kumar, U and Srinivas, K and Nigam, S N and Jones, J W (2012) Evaluation of Genetic Traits for Improving Productivity and Adaptation of Groundnut to Climate Change in India. Journal of Agronomy and Crop Science. 15 p.. ISSN 1439-037x

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Anticipated climate change will alter the temperature and rainfall characteristics of crop growing seasons. This will require genetic improvement of crops for adapting to future climates for higher yields. The CROPGRO model for groundnut was used to evaluate genetic traits of Virginia and Spanish types of groundnut for various climate scenarios of India. The analysis revealed that productivity of groundnut can be increased in current and future climates by adjusting the duration of various life-cycle phases, especially the seed-filling to physiological maturity (SD-PM). Increased maximum leaf photosynthesis rate (AMAX), increased partitioning to reproductive organs (XFRT) and increased individual seed-fill duration (SFDUR) all contributed to the increase in pod yield in all climates. More determinate pod set (shorter PODUR) was beneficial only in the water deficit environments. The positive effect of increasing specific leaf area (SLA) and leaf size (SIZLF) on pod yield was greater in environments more favourable for plant growth. Increasing reproductive tolerance to high temperature by 2 °C increased pod yield of groundnut in warmer environments, especially where the crop often suffers from drought. Increased adaptive partitioning to roots (ATOP) increased drought resistance of groundnut on high water-holding capacity soils. Combination of traits had additive effects and pod yield increased substantially. These results indicate that the CROPGRO model can be used to assess the potential of individual or combination of plant traits for guiding breeding of improved groundnut varieties for current and future climates.

Item Type: Article
Uncontrolled Keywords: climatic factors; crop modelling; CROPGRO model; genetic improvement; peanut
Subjects: Mandate crops > Groundnut
Depositing User: Mr Siva Shankar
Date Deposited: 21 Jun 2012 08:42
Last Modified: 21 Jun 2012 09:06
URI: http://oar.icrisat.org/id/eprint/6016
Official URL: http://dx.doi.org/10.1111/j.1439-037X.2012.00522.x
Funders: ICRISAT for providing financial support through USAID linkage fund.
Acknowledgement: We are grateful to the India Meteorological Department, Pune, for providing part of the weather data used in this study. We are also thankful to the anonymous reviewers for their critical comments to improve the manuscript.
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