TY - JOUR
T1 - Phenotypic evaluation of agronomic and root related traits for drought tolerance in recombinant inbred line population derived from a chickpea cultivar (C. arietinum L.) and its wild relative (C. reticulatum)
AU - Kushwah, Ashutosh
AU - Bhatia, Dharminder
AU - Singh, Gurpreet
AU - Singh, Inderjit
AU - Vij, Suruchi
AU - Bindra, Shayla
AU - Siddique, Kadambot H. M.
AU - Nayyar, Harsh
AU - Singh, Sarvjeet
PY - 2022/8/13
Y1 - 2022/8/13
N2 - Drought is a major abiotic stress that drastically reduces chickpea yields. The present study was aimed to identify drought-responsive traits in chickpea by screening a recombinant inbred line population derived from an inter-specific cross between drought cultivar of GPF2 (C. arietinum L.) and drought sensitive accession of ILWC292 (C. reticulatum), at two locations in India. Twenty-one traits, including twelve morphological and physiological traits and nine root-related traits were measured under rainfed (drought-stress) and irrigated conditions (no-stress). High genotypic variation was observed among RILs for yield and root traits indicated that selection in these germplasms would be useful in achieving genetic progress. Both correlation and principal component analysis revealed that plant height, number of pods per plant, biomass, 100-seed weight, harvest index, membrane permeability index, and relative leaf water content were significantly correlated with yield under both irrigated and drought stress environments. Root length had significant positive correlations with all root-related traits except root length density in drought-stressed plants. Path analysis and multiple and stepwise regression analyses showed that number of pods per plant, biomass, and harvest index were major contributors to yield under drought stress conditions. Thus, a holistic approach across these analyses identified number of pods per plant, biomass, harvest index, and root length as key traits for improving chickpea yield through indirect selection for developing drought-tolerant cultivars. Overall, on the basis of yield components morphological and root traits, a total of 15 promising RILs were identified for their use in chickpea breeding programs for developing drought tolerant cultivars.
AB - Drought is a major abiotic stress that drastically reduces chickpea yields. The present study was aimed to identify drought-responsive traits in chickpea by screening a recombinant inbred line population derived from an inter-specific cross between drought cultivar of GPF2 (C. arietinum L.) and drought sensitive accession of ILWC292 (C. reticulatum), at two locations in India. Twenty-one traits, including twelve morphological and physiological traits and nine root-related traits were measured under rainfed (drought-stress) and irrigated conditions (no-stress). High genotypic variation was observed among RILs for yield and root traits indicated that selection in these germplasms would be useful in achieving genetic progress. Both correlation and principal component analysis revealed that plant height, number of pods per plant, biomass, 100-seed weight, harvest index, membrane permeability index, and relative leaf water content were significantly correlated with yield under both irrigated and drought stress environments. Root length had significant positive correlations with all root-related traits except root length density in drought-stressed plants. Path analysis and multiple and stepwise regression analyses showed that number of pods per plant, biomass, and harvest index were major contributors to yield under drought stress conditions. Thus, a holistic approach across these analyses identified number of pods per plant, biomass, harvest index, and root length as key traits for improving chickpea yield through indirect selection for developing drought-tolerant cultivars. Overall, on the basis of yield components morphological and root traits, a total of 15 promising RILs were identified for their use in chickpea breeding programs for developing drought tolerant cultivars.
KW - Root related traits
KW - Genetic variability
KW - Association analysis
KW - Path coefficient analysis
KW - Regression analysis
KW - Principal component analysis
KW - WATER-USE
KW - GENETIC-VARIABILITY
KW - ASCOCHYTA BLIGHT
KW - YIELD CRITERIA
KW - SEED YIELD
KW - IMPROVEMENT
KW - RESISTANCE
KW - GENOTYPES
KW - ENVIRONMENTS
KW - ADAPTATION
UR - http://www.scopus.com/inward/record.url?scp=85135805867&partnerID=8YFLogxK
U2 - 10.1007/s12298-022-01218-z
DO - 10.1007/s12298-022-01218-z
M3 - Article
C2 - 36051229
VL - 28
SP - 1437
EP - 1452
JO - Physiology and Molecular Biology of Plants
JF - Physiology and Molecular Biology of Plants
SN - 0971-5894
IS - 7
ER -