Ys. Chauhan et al., GENOTYPE-BY-ENVIRONMENT INTERACTION EFFECT ON YIELD AND ITS PHYSIOLOGICAL BASES IN SHORT-DURATION PIGEONPEA, Field crops research, 59(2), 1998, pp. 141-150
Short-duration pigeonpea [Cajanus cajan (L.) Millsp.] is being targete
d for commercial cultivation in more diverse environments than traditi
onal cultivars used in subsistence agriculture. As it is a relatively
new crop, information on performance of recently evolved lines and hyb
rids across a range of environments is lacking. Thirty lines were comp
ared for grain yield in 20 environments representing major areas of cu
ltivation [Patancheru (17 degrees N and 72 degrees E), Gwalior (26 deg
rees N and 78 degrees E) and Hisar (29 degrees N and 75 degrees E)], s
oil types and sowing times. Grain yield across environments varied wid
ely from 0.36 to 2.09 t ha(-1). Average yield was highest, 1.53 t ha(-
1), for hybrid ICPH 8. The genotype-by-environment interaction (GEI) e
ffect analyzed using the additive main effects and multiplicative inte
raction (AMMI) statistical model was highly significant and was three
times more important than the Line effects. Line ICPL 83006 was highes
t yielding in one, ICPL 87101 in two, hybrids ICPH 9 in four and ICPH
8 in 13 environments. Based on the range of adaptation of the highest
yielding lines, the 20 environments were grouped into four fairly homo
geneous crop growing environments in which the same genotypes performe
d best (mega-environments). The average yield with the highest-yieldin
g lines planted in the respective mega-environment was 12.5% higher th
an when ICPH 8 was planted across all the environments. Significant co
rrelations of crop growth rate, duration of reproductive phase, partit
ioning and growth habits of lines with GEI patterns suggest that varia
ble performance of the lines across the 20 environments could be due t
o variation in the physiological components of yield. The results sugg
est the presence of significant GEI and that its systematic exploitati
on through selection of the appropriate physiological components for e
ach mega-environment can result in higher average yield across growing
environments. (C) 1998 Elsevier Science B.V. All rights reserved.