Multi‐trait stability index: A tool for simultaneous selection of soya bean genotypes in drought and saline stress

2020 ◽  
Vol 206 (6) ◽  
pp. 815-822 ◽  
Author(s):  
Alan Mario Zuffo ◽  
Fábio Steiner ◽  
Jorge González Aguilera ◽  
Paulo Eduardo Teodoro ◽  
Larissa Pereira Ribeiro Teodoro ◽  
...  
Author(s):  
Tamoor Hussain ◽  
Zahid Akram ◽  
Ghulam Shabbir ◽  
Abdul Manaf ◽  
Mukhtar Ahmed

2004 ◽  
Vol 33 (9) ◽  
pp. 2137-2157 ◽  
Author(s):  
David A. Johannsen ◽  
Edward J. Wegman ◽  
Jeffrey L. Solka ◽  
Carey E. Priebe

2002 ◽  
Vol 138 (3) ◽  
pp. 249-253 ◽  
Author(s):  
F. MEKBIB

Phenotypic yield stability is a trait of special interest for plant breeders and farmers. This value can be quantified if genotypes are evaluated in different environments. Common bean is the main cash crop and protein source of farmers in many lowland and mid-altitude areas of Ethiopia. An experiment was undertaken to evaluate common bean genotypes for yield performance at Alemaya, Bako and Nazreth in Ethiopia for 3 years. The yield performance of genotypes was subjected to stability analysis and yield-stability statistics were generated to aid the selection of genotypes that were high yielding and very stable. The significant genotype by environment interaction indicated that the relative performance of the varieties altered in the different environments. Genotype yield performance varied ranging from 1511–2216 kg/ha. Simultaneous selection for yield and yield-stability statistics using YS(i) statistics indicated that A 410, GLP x92, Mx-2500-19, G 2816, A-195, 997-CH-1173, Diacol calima, ICA 15541 and AND 635 were both high yielding and stable. Following this study, using farmers’ evaluation and other criteria, GLP x92 and G-2816 were identified as preferred genotypes and were released for further production.


2020 ◽  
Vol 175 ◽  
pp. 13007
Author(s):  
Arthur Alukhanyan ◽  
Olga Panfilova

The article deals with the issues of renovation (renewal) of the agricultural machinery and tractor fleet by developing models for developing an optimal strategy for its technical re-equipment. The optimal service life of machines in operation is considered as the most important prerequisite for the scientific management of such an update. The main criterion for the optimal strategy is the effectiveness of replacing a particular machine with a new one. The relevance of solving this problem is determined by the urgent need to plan the pace of technical re-equipment of the MTF, taking into account the presence of various economic restrictions.


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