TITLE:
Distinguishing of Stable Genotypes and Mega Environment for Grain Yield Performance of Sorghum [Sorghum bicolor (L.) Moench] Genotypes Using Spatial Analysis
AUTHORS:
Kidanemaryam Wagaw, Amare Seyoum, Taye Tadesse, Amare Nega, Adane Gebreyohannes, Tamirat Bejiga, Sewmehon Siraw, Hailemariam Solomon, Daniel Nadew, Meron Bogale
KEYWORDS:
Genetic Correlation, Mega Environment, Stability, Spatial Analysis
JOURNAL NAME:
American Journal of Plant Sciences,
Vol.12 No.3,
March
31,
2021
ABSTRACT: Sorghum is a staple food
crop in Ethiopia and its production is mainly constrained by drought, other
environmental factors, and the use of low-yielding, local sorghum varieties. To
improve sorghum productivity, it is crucial to provide farmers with high
yielding, stable sorghum cultivars that are tolerant to drought and other
constraints. The stable performance of sorghum varieties in a growing region is
critical to obtain a high and stable yield. In the 2012-2014 crop year, 24
genotypes, including standard controls, were evaluated at the national variety
trial stage over six main dry lowland sorghum growing sites and two years made
7 environments to evaluate their performance, stability and to quantify
Genotype by Environment Interaction (GEI) across moisture stress sorghum
growing areas of Ethiopia. Spatial modeling has been used to estimate predicted
mean (BLUPs) results and Performance and estimation of environmental
correlation, heritability, GEI, and other parameters using the ASReml3-R
analysis package. The predicted mean yield of the test genotypes across the
environment ranged from 3.45 to 1.56 t·ha-1.
Based on the result genotype G13, it could be further promoted because of its
yield advantage and other important attributes over the standard checks, but it
is the least stable. Based on the analyzed result, two mega environments were
formed and Environment 1 (E1) is identified as an ideal environment among the
testing environments.