scholarly journals Evaluation of adaptability and seed yield stability of soybean (Glycine max L. Merril) promising lines using GGE biplot analysis

2020 ◽  
Vol 22 (2) ◽  
pp. 183-197
Author(s):  
Hamid reza Babaei ◽  
, Nasrin Razmi ◽  
Samie Raeisi ◽  
Hosein Sabzi ◽  
◽  
...  
Keyword(s):  
Glycine Max ◽  
Seed Yield ◽  
Yield Stability ◽  
Gge Biplot ◽  
Biplot Analysis ◽  
Glycine Max L

Traditional soybean (Glycine max) breeding increases seed yield but reduces yield stability under non-phosphorus supply

2021 ◽  
Author(s):  
Zhong-Hua Zhang ◽  
Jairo A. Palta ◽  
Ping Lu ◽  
Ming-Jian Ren ◽  
Xing-Tao Zhu ◽  
...  
Keyword(s):  
Glycine Max ◽  
Seed Yield ◽  
Yield Stability

scholarly journals Comparison of the depth of placement of lime nitrogen on growth, N2fixation activity, seed yield and quality of soybean (Glycine max(L.) Merr.) plants

2006 ◽  
Vol 52 (4) ◽  
pp. 453-463 ◽  
Author(s):  
Tewari Kaushal ◽  
Masaru Onda ◽  
Sayuri Ito ◽  
Akihiko Yamazaki ◽  
Hiroyuki Fujikake ◽  
...  
Keyword(s):  
Glycine Max ◽  
Seed Yield ◽  
Yield And Quality ◽  
Glycine Max L

scholarly journals Simulated mesotrione drift followed by glyphosate, imazethapyr, bentazon or glyphosate plus chlorimuron in soybean

2009 ◽  
Vol 89 (2) ◽  
pp. 265-272
Author(s):  
L. R. Brown ◽  
D. E. Robinson ◽  
K. Chandler ◽  
C. J. Swanton ◽  
R. E. Nurse ◽  
...  
Keyword(s):  
Glycine Max ◽  
Key Words ◽  
Plant Height ◽  
Seed Yield ◽  
Plant Density ◽  
Dry Weight ◽  
Shoot Dry Weight ◽  
Glycine Max L ◽  
Herbicide Drift

There have been anecdotal accounts of increased crop sensitivity due to herbicide drift followed by an in-crop herbicide. An experiment was conducted from 2005 to 2007 at Elora, Ridgetown, and Woodstock, Ontario, to determine the effects of simulated mesotrione drift followed by in-crop applications of glyphosate, imazethapyr, bentazon and glyphosate plus chlorimuron on glyphosate-resistant soybean [Glycine max (L.) Merr.] visual injury, plant height, plant density, shoot dry weight, and seed yield. As the rate of simulated mesotrione drift increased, there was an increase in soybean injury and a decrease in shoot dry weight, height, and yield. Simulated mesotrione drift followed by bentazon resulted in synergistic responses in injury shortly after application in some environments. This increase in injury was transient, with no synergistic responses in density, shoot dry weight, and yield. In contrast, antagonistic responses were observed when glyphosate, imazethapyr, or glyphosate plus chlorimuron were applied after simulated mesotrione drift in some environments. Further research is required to develop a better understanding of the interactions of drift followed by the application of an in-crop herbicide. Key words: Bentazon, chlorimuron, glyphosate, imazethapyr, mesotrione, synergism

Yield stability of rainfed durum wheat and GGE biplot analysis of multi-environment trials

2010 ◽  
Vol 61 (1) ◽  
pp. 92 ◽  
Author(s):  
Reza Mohammadi ◽  
Reza Haghparast ◽  
Ahmed Amri ◽  
Salvatore Ceccarelli
Keyword(s):  
Durum Wheat ◽  
Good Alternative ◽  
Yield Stability ◽  
Gge Biplot ◽  
Ge Interaction ◽  
Breeding Lines ◽  
Biplot Analysis ◽  
Stable Performance ◽  
Superior Genotypes ◽  
Highly Correlated

Integrating yield and stability of genotypes tested in unpredictable environments is a common breeding objective. The main goals of this research were to identify superior durum wheat genotypes for the rainfed areas of Iran and to determine the existence of different mega-environments in the growing areas of Iran by testing 20 genotypes in 4 locations for 3 years via GGE (genotype + genotype-by-environment) biplot analysis. Stability of performance was assessed by the Kang’s yield-stability statistic (YSi) and 2 new methods of yield-regression statistic (Ybi) and yield-distance statistic (Ydi).The combined analysis of variance showed that environments were the most important source of yield variability, and accounted for 76% of total variation. The magnitude of the GE interaction was ~10 times the magnitude of the G effect. The GGE biplot suggested the existence of 2 durum wheat mega-environments in Iran. The first mega-environment consisted of environments corresponding to ‘cold’ locations (Maragheh and Shirvan) and a moderately cold location (Kermanshah), where ‘Sardari’ was the best adapted cultivar; the second mega-environment comprised ‘warm’ environments, including the Ilam and Kermanshah locations, where the recommended breeding lines G16 (Gcn//Stj/Mrb3), G17 (Ch1/Brach//Mra-i), and G18 (Lgt3/4/Bcr/3/Ch1//Gta/Stk) produced the highest yields. Ranking of genotypes based on GGE was found to be highly correlated with that based on the statistics YSi and Ybi. The discriminating power v. the representative view of the GGE biplot identified Kermanshah as the location with the least discriminating ability but greater representation, suggesting the possible of testing genotypes adapted to both warm and cold locations at the Kermanshah site. The results verified that the statistics YSi and Ybi were highly correlated (r = 0.94**) and could be a good alternative for GGE biplot analysis for selecting superior genotypes with high-yielding and stable performance.

scholarly journals Identification of Soybean Yield QTL in Irrigated and Rain-Fed Environments

Agronomy ◽  
2021 ◽  
Vol 11 (11) ◽  
pp. 2207
Author(s):  
Geung-Joo Lee ◽  
Sung-Woo Lee ◽  
Tommy E. Carter ◽  
Grover Shannon ◽  
Roger Boerma
Keyword(s):  
Abiotic Stress ◽  
Glycine Max ◽  
Quantitative Trait Loci ◽  
Ssr Markers ◽  
Seed Yield ◽  
Quantitative Trait ◽  
Genomic Region ◽  
Favorable Alleles ◽  
Yield Variation ◽  
Glycine Max L

Drought is the primary abiotic stress that limits yield of soybean (Glycine max (L.) Merr.). The study aimed to identify yield-related quantitative trait loci (QTLs) in soybeans using a population of 160 F4-derived lines from ‘Hutcheson’ × PI 471938 crosses, which were cultivated under rain-fed and irrigated conditions. Seed yield was determined based on a total of nine irrigated and five rain-fed environments over two years. Twenty and twenty-seven SSR markers associated with yield (P ≤ 0.05) were identified in the irrigated and rain-fed environments, respectively. Four markers accounted for 22% of the yield variation in the irrigated environments (IR-YLD) and five markers explained 34% of the yield variation in the rain-fed environments (RF-YLD). Two independent IR-YLD and RF-YLD QTLs on chromosome (Chr) 13 (LG-F) were mapped to the Satt395-Sat_074 interval (4.2 cM) and near Sat_375 (3.0 cM), which explained 8% (LOD = 2.6) and 17% (LOD = 5.5) of the yield variation, respectively. The lines homozygous for the Hutcheson allele at the IR-YLD QTL linked to Sat_074 averaged 100 kg ha−1 higher yield than the lines homozygous for the PI 471938 allele. At two independent RF-YLD QTLs on Chr 13 and Chr 17, the lines homozygous for the PI 471938 alleles were 74 to 101 kg ha−1 higher in yield than the lines homozygous for the Hutcheson alleles. Three of the five significant SSR markers associated with RF-YLD were located in a genomic region known for canopy-wilting QTLs, in which the favorable alleles were inherited from PI 471938. The identification of yield-QTLs under the respective rain-fed and irrigated environments provides knowledge regarding differential responses of yield under different irrigation conditions, which will be helpful in developing high-yielding soybean cultivars.

Sign in / Sign up

Export Citation Format

Share Document