Genotypic variation for growth and yield response at two elevated levels of CO2 and three seasons in blackgram (Vigna mungo)

M VANAJA; G R MARUTHI SANKAR; M MAHESWARI; N JYOTHI LAKSHMI; S K YADAV; P VAGHEERA; S K ABDUL RAZAK; BABU ABRAHAM; G VIJAY KUMAR; B VENKATESWARLU

doi:10.56093/ijas.v85i3.47078

Authors

M VANAJA Principal Scientist (Plant physiology), Central Research Institute for Dryland Agriculture, Santoshnagar, Hyderabad, Andhra Pradesh 500 059
G R MARUTHI SANKAR Principal Scientist, (Agricultural Statistics), Central Research Institute for Dryland Agriculture, Santoshnagar, Hyderabad, Andhra Pradesh 500 059
M MAHESWARI Head, Division of Crop Sciences, Central Research Institute for Dryland Agriculture, Santoshnagar, Hyderabad, Andhra Pradesh 500 059
N JYOTHI LAKSHMI Senior Scientist (Plant Physiology), Central Research Institute for Dryland Agriculture, Santoshnagar, Hyderabad, Andhra Pradesh 500 059
S K YADAV Principal Scientist (Biochemistry), Central Research Institute for Dryland Agriculture, Santoshnagar, Hyderabad, Andhra Pradesh 500 059
P VAGHEERA Research Associate, Central Research Institute for Dryland Agriculture, Santoshnagar, Hyderabad, Andhra Pradesh 500 059
S K ABDUL RAZAK Senior Research Fellow, Central Research Institute for Dryland Agriculture, Santoshnagar, Hyderabad, Andhra Pradesh 500 059
BABU ABRAHAM Chief Technical Officer, National Bureau of Plant Genetic Resources, Regional Station, Hyderabad 500 030
G VIJAY KUMAR Senior Research Fellow, Central Research Institute for Dryland Agriculture, Santoshnagar, Hyderabad, Andhra Pradesh 500 059
B VENKATESWARLU Director (CRIDA), Central Research Institute for Dryland Agriculture, Santoshnagar, Hyderabad, Andhra Pradesh 500 059

https://doi.org/10.56093/ijas.v85i3.47078

Keywords:

Analysis of variance, Dry matter traits, Interactive effect, Morphological traits, Yield traits

Abstract

Eighteen blackgram [Vigna mungo (L) Hepper] genotypes were evaluated at three levels of CO₂ (390, 550 and 700 ppm) under Open Top Chamber (OTC) condition during summer, rainy and winter seasons to assess the interactive effect of seasons and CO₂ levels on the performance of morphological, biomass and yield traits to identify efficient genotype(s). The analysis of variance indicated significant differences among genotypes, CO₂ levels and seasons. The interaction of genotypes × CO₂ levels, genotypes × seasons and seasons × CO₂ levels were also observed significant. The study indicated that performance of the majority of traits improved with both elevated CO₂ levels of 550 ppm and 700 ppm in all three seasons; however the magnitude of response of individual traits differed with seasons. Elevated CO₂ improved the seed yield of blackgram genotypes by improving pods/plant, seed number and test weight. The improvement of the traits was significantly high in summer and rainy season as compared with winter season. Among the 18 blackgram genotypes evaluated majority of the traits including total biomass and seed yield of LBG 20 check variety and IC398971 performed best in summer over all three CO₂ levels; IC436665 in rainy season and IC398971 and IC519805 in winter. At ambient level (390 ppm) the genotype IC343947, at 550 ppm the genotype IC587751 and at 700 ppm the genotype IC436665 recorded superior performance for the majority of the traits over the seasons. The variability in response of blackgram genotypes for CO₂ levels and seasons provide a basis to identify suitable traits in developing stable performing varieties for changing climatic conditions.

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