TITLE:
Predicting Yield and Stability Analysis of Wheat under Different Crop Management Systems across Agro-Ecosystems in India
AUTHORS:
Mangi Lal Jat, Raj Kumar Jat, Parvinder Singh, Shankar Lal Jat, Harminder Singh Sidhu, Hanuman Sahay Jat, Deepak Bijarniya, Chiter Mal Parihar, Raj Gupta
KEYWORDS:
Stability Analysis, GxExM, BLUPs, Forest Plots, GGE Biplot, Wheat, Univariate Stability Statistics
JOURNAL NAME:
American Journal of Plant Sciences,
Vol.8 No.8,
July
31,
2017
ABSTRACT: The objectives of the study were as follows: 1) to
evaluate the GxExM for wheat genotypes; 2) to predict yield
performance and identify high stable wheat genotypes in different management
practices; and 3) to make
genotype-specific management and high performing genotype recommendations
within and across agro-ecological regions. A
diverse set of twenty-one genotypes was evaluated over three years (2012, 2013 and 2014) under two levels of
crop management practices (CT and ZT) across three agro-ecological
regions (BR, MP and PB) of India in replicated trials. Data were analyzed with
SASGxE and RGxE programs using SAS and R programming languages, respectively.
Across and within a location(s), the pattern of GxExM and GxMxY interactions
(respectively) among univariate and multivariate stability statistics, grouping of genotypes in divisive clusters and estimates (with a prediction interval) of genotype varied in management practice
CT and ZT. Across locations, the genotypes “Munal” and “HD-2967” were
the best performers and high stable in CT and ZT, respectively. Genotypes “HD-2824”
and “DPW-621-50”, and “Munal” may serve as diverse parents for developing high
quality, climate smart, locally adapted genotypes for BR in CT and ZT,
respectively. Genotypes “HD-2932”, “BAZ” and
“JW-3288”, and “GW-322” and “HD-2967” are suitable for developing locally adapted stress tolerant
genotypes for MP in management practices CT and ZT, respectively. Relatively
small GxM and GxExM interactions in PB preclude in making definitive
conclusions.