scholarly journals Exploring the Phenotypic Stability of Soybean Seed Compositions Using Multi-Trait Stability Index Approach

Agronomy ◽  
2021 ◽  
Vol 11 (11) ◽  
pp. 2200
Author(s):  
Ahmed M. Abdelghany ◽  
Shengrui Zhang ◽  
Muhammad Azam ◽  
Abdulwahab S. Shaibu ◽  
Yue Feng ◽  
...  
Keyword(s):  
Protein Content ◽  
Oil Content ◽  
Soybean Seed ◽  
Weighted Average ◽  
Stability Index ◽  
Environment Interaction ◽  
Quality Traits ◽  
Growing Seasons ◽  
Trait Stability ◽  
Soybean Genotypes

In order to ensure an ongoing and long-term breeding progress of soybean, stable sources of major quality traits across multi-environments need to be identified. Here, a panel of 135 soybean genotypes was tested in three different Chinese environments, including Beijing, Anhui, and Hainan during the 2017 and 2018 growing seasons to identify stable genotypes for cultivation under varying environmental conditions. The weighted average of absolute scores biplot (WAASB) for the best linear unbiased predictions of the genotype-environment interaction and multi-trait stability index (MTSI) were utilized to determine the stability of the soybeans for seven seed composition traits viz; protein content, oil content, and five fatty acids (palmitic, stearic, oleic, linoleic, and linolenic acids). Based on the WAASB index, the following genotypes were identified as stable genotypes for some specific traits; ZDD12828 and ZDD12832 for protein content, WDD01583 and WDD03025 for oil content, ZDD23040 for palmitic acid, WDD00033 for stearic acid, ZDD23822 for oleic acid, ZDD11183 for linoleic acid, and ZDD08489 for linolenic acid. Furthermore, based on MTSI at a selection intensity of 10%, 14 soybean genotypes were selected for their average performance and stability. Overall, the MTSI was shown to be a powerful and simple tool for identifying superior genotypes in terms of both performance and stability, hence, identifying stable soybean genotypes for future breeding programs of quality traits.

scholarly journals Relationships among oil content, protein content and seed size in soybeans

2001 ◽  
Vol 44 (1) ◽  
pp. 23-32 ◽  
Author(s):  
Mario Marega Filho ◽  
Deonisio Destro ◽  
Lilian Azevedo Miranda ◽  
Wilma Aparecida Spinosa ◽  
Mercedes Concórdia Carrão-Panizzi ◽  
...  
Keyword(s):  
Protein Content ◽  
Seed Size ◽  
Oil Content ◽  
High Protein ◽  
Human Consumption ◽  
State University ◽  
Environmental Correlations ◽  
High Protein Content ◽  
Soybean Genotypes ◽  
The Relationship

During 1995/96 and 1996/97, experiments were carried out at Londrina State University, aiming at quantifying the oil and protein contents in two groups of soybean genotypes; estimating the phenotypic, genotypic and environmental correlations existent among oil, protein content and seed size, and identifying genotypes for direct human consumption with high protein content. The evaluated characters were Weight of a Hundred Seeds (WHS), expressed in grams/100 seeds, Oil Content (OC) and Protein Content (PC), expressed in %. In the experiment carried out in the field, OC ranged from 12 to 20.37 % and PC from 35.66 to 41.75% while in the experiment carried out in the greenhouse OC ranged from 12.26 to 21.79 % and PC from 32.95 to 41.56 % . The correlations between oil and protein were negative and significant. The relationship among WHS with OC and PC was low and higly affected by the time effect. Due to their high protein content and stability to oil and protein contents, there were distinction among the treatments carried out in the field (GA23 and GA20), and those carried out in the greenhouse (PI408251, Waseda, B6F4 (L-3 less), PI423909 and Tambagura).

scholarly journals Genotype x environment interaction of agronomic and processing quality traits in potato

2012 ◽  
Vol 30 (1) ◽  
pp. 84-90 ◽  
Author(s):  
Lizete Augustin ◽  
Sandra Milach ◽  
Dilson Antônio Bisognin ◽  
Marilei Suzin
Keyword(s):  
Dry Matter ◽  
Rio Grande ◽  
Chip Color ◽  
Genotype X Environment Interaction ◽  
Environment Interaction ◽  
Quality Traits ◽  
Processing Quality ◽  
Rio Grande Do Sul ◽  
Genotype X Environment ◽  
Growing Seasons

At the main crop production region of Rio Grande do Sul state, Brazil, potato is cultivated in two different growing seasons: autumn and spring. The objectives of this research paper were: i) identify potato clones with high yield potential and industrial quality for Autumn and Spring growing seasons in the northern/northeastern region of the state; ii) estimate the effects of environment and of the genotype x environment interaction on the expression of agronomic and processing quality traits of potato clones in order to determine the appropriate strategy for breeding potato for the target region. One hundred and seventy clones of nine families were developed and compared to the cultivars Atlantic, Baronesa, Catucha, Ciclamen, Hertha, Lady Roseta, Macaca, Monalisa and Vivaldi and to the clone SMIJ 461-1, in the autumn and spring of 2006, in Passo Fundo, northern Rio Grande do Sul state. The evaluated traits included number of tubers per plant, tuber weight, plant yield, presence of deep eyes, dry matter content and chip color. Genotype x environment interaction (G x E) was significant for the expression of all traits but processing quality traits like chip color were most influenced by the growing season conditions. Genetic potential expression for yield traits was maximized in the spring season. Superior clones combining agronomic and quality traits were identified at the two growing seasons. High correlation between the two growing seasons was observed for the presence of deep eyes and dry matter, indicating they can be selected at either season.

scholarly journals Genotypic response of two soybean varieties with reduced content of KTI to application of different nitrogen level

2010 ◽  
Vol 26 (5-6) ◽  
pp. 403-410 ◽  
Author(s):  
Violeta Randjelovic ◽  
S. Prodanovic ◽  
Z. Tomic ◽  
Z. Bijelic
Keyword(s):  
Grain Yield ◽  
Protein Content ◽  
Nitrogen Fertilization ◽  
Oil Content ◽  
Nutritive Value ◽  
Field Trials ◽  
Dry Land ◽  
Group I ◽  
Soybean Genotypes ◽  
Land Farming

The aim of this investigation was to estimate the effects of different amounts of nitrogen on the grain yield and nutritive value in two soybean genotypes (Laura and Lana). Studied varieties belong to different maturity groups (Laura is in the group I, while Lana is in the group II) and they both have reduced content of Kunitz trypsin inhibitor (KTI). Four treatments of fertilization were tested: 0 kg N ha-1, 30 kg N ha-1, 60 kg N ha-1 and 90 kg N ha-1. Field trials were carried out in dry land farming, at location Putinci, during the years 2008 and 2009. In both research years, variety Lana had higher grain yield and oil content then variety Laura. Method of nitrogen fertilization has been proved as an effective tool for increasing of grain yield and protein content in both varieties. The results of the study showed that application of 90 kg N ha-1 increased the grain yield and protein content of soybean more than application of other treatments (0, 30 and 60 kg N ha- 1). All nitrogen fertilization levels decreased the oil content.

scholarly journals Agronomic Responses of Soybean Genotypes to Starter Nitrogen Fertilizer Rate

Agronomy ◽  
2020 ◽  
Vol 10 (4) ◽  
pp. 535 ◽  
Author(s):  
Violeta Mandić ◽  
Snežana Đorđević ◽  
Zorica Bijelić ◽  
Vesna Krnjaja ◽  
Vlada Pantelić ◽  
...  
Keyword(s):  
Field Study ◽  
Oil Content ◽  
Weather Conditions ◽  
Yield Potential ◽  
High Yield ◽  
Organic N ◽  
Quantitative Parameters ◽  
Growing Seasons ◽  
Soybean Genotypes ◽  
Favorable Weather

The main nitrogen (N) sources in soybean production originate from soil fixing bacteria Bradyrhizobium spp. and from mineralization of soil organic N. These sources of N are often not sufficient to cover the N needs of the soybean. The present two-year field study aimed to evaluate the effects of soybean genotypes (Valjevka and Galina) and rates of starter fertilizer N (0, 30, 60, and 90 kg ha−1) on quantitative and qualitative parameters and on rain use efficiency (RUE) under contrasting weather conditions in the Pannonian region of Serbia. A field study conducted during two different growing seasons: first year with unfavorable weather conditions and second year with favorable weather conditions. As expected, the quantitative parameters, oil content, and RUE were higher in the year with favorable growing season, the second one. According to measured parameters, the genotype Valjevka performed higher yield potential as compared to the genotype Galina. The highest values of quantitative parameters and RUE were recorded at 60 kg N ha−1, protein content at 90 kg N ha−1 and oil content 0 kg N ha−1 (control). This study suggests that proper genotype selection and application of 60 kg N ha−1 as a starter dose with rhizobial inoculation could contribute to the high yield, while protein could be altered by N amount, independently on genotype.

scholarly journals Effect of Intercroping Maize-Soybean on Grain Quality Traits in Kenya

2018 ◽  
Vol 10 (2) ◽  
pp. 341
Author(s):  
Habineza M. Jean Pierre ◽  
Josiah M. Kinama ◽  
Florence M. Olubayo ◽  
Susan W. Wanderi ◽  
James W. Muthomi ◽  
...  
Keyword(s):  
Grain Size ◽  
Protein Content ◽  
Dry Matter ◽  
Oil Content ◽  
Grain Quality ◽  
Block Design ◽  
Small Scale ◽  
Quality Traits ◽  
Sole Crop ◽  
Small Scale Farmers

An experiment was conducted in Kenya to determine the effect of intercropping maize-soybean on soybean grain quality traits. A randomized complete block design replicated three times with seven treatments was used. Data were collected and analysed for soybean protein content, oil content and dry matter while grain size was done for maize and soybean. Data were subjected to ANOVA and means separated using LSD0.05. The results showed that TGX1990-5F variety recorded high protein content (p ≤ 0.05) in sole crop compared to intercropping with 42.96% and 38.4% respectively while SB19 obtained 36.57% and 40.41% of protein between sites for the first season. A bout the second season, TGX1990-5F gave 40.84% of protein compared to 31.98% for GAZELLE in intercrop at both sites. GAZELLE showed higher oil content followed by TGX1990-5F and SB19 was the last in both seasons. TGX1990-5F showed higher dry matter followed by GAZELLE and SB19 was the last in intercrop. In addition, GAZELLE a local variety showed greater size than SB19 in both rainy seasons. Intercropping affected slightly the protein content, oil content and gain size  than sole crop but it did not affect the dry matter in both seasons.Thus, TGX1990-5F can be recommended to small-scale farmers for intercropping with maize because it produced higher value of protein and small-scale farmers could use it to fight mal nutrition. GAZELLE variety can be also recommended for oil production. Maize grain size was not affected by intercropping system.

scholarly journals Estimations of fibre trait stability and type of inheritance in cotton

2018 ◽  
Vol 54 (No. 4) ◽  
pp. 190-192 ◽  
Author(s):  
Vasileios Greveniotis ◽  
Evangelia Sioki ◽  
Constantinos G. Ipsilandis
Keyword(s):  
Stability Index ◽  
Quality Trait ◽  
Quality Traits ◽  
Quantitative Inheritance ◽  
Fibre Quality ◽  
Mean Estimation ◽  
Trait Stability ◽  
Genotype Evaluation ◽  
The Mean ◽  
Almost All

Traits affecting fibre quality were evaluated in a multi-location environmental experiment. Four main cotton regions in Greece were selected as different environments. Five commercial cotton cultivars were used for evaluation of 10 fibre quality traits. Each cultivar was sown in 10 different fields in each region. Environmental fluctuations within regions affected each quality trait differently showing a different degree of inheritance. Four traits showed the lowest stability index values indicating quantitative inheritance, further four traits with intermediate values indicated determination by a few genes, while the more stable and thus with qualitative inheritance traits were considered to indicate fibre maturity and uniformity. The mean estimation of stability in multi-location experiments was found the same as in multi-genotype evaluation. Two cultivars (Elsa and Celia) were found to be more stable across the Greek environments and two regions favoured stability for almost all traits. Correlations between regions were high and the same was found between genotypes.  

Preharvest Effects of Applying Glyphosate to Soybeans (Glycine max)

Weed Science ◽  
1981 ◽  
Vol 29 (1) ◽  
pp. 123-127 ◽  
Author(s):  
W. R. Azlin ◽  
C. G. McWhorter
Keyword(s):  
Glycine Max ◽  
Seed Germination ◽  
Protein Content ◽  
Oil Content ◽  
Soybean Seed ◽  
Soybean Plants ◽  
Over The Top

Over a 4-yr period, glyphosate [N-(phosphonomethyl)glycine] was applied over-the-top to soybeans [Glycine max(L.) Merr.] at five rates, from 0.56 to 3.36 kg/ha, at four periods of time prior to harvest, 23 to 29 days, 15 to 21 days, 7 to 12 days, and 1 to 4 days. Soybean yields were reduced when glyphosate was applied at 2.24 and 3.36 kg/ha 23 to 29 days before harvest. Soybean seed were discolored following all five rates of glyphosate applied 23 to 29 days before harvest, following glyphosate at 1.12 to 3.36 kg/ha applied 15 to 21 days before harvest, and following glyphosate at 3.36 kg/ha applied 7 to 12 days before harvest. Germination of soybean seed was reduced at 30 C only when glyphosate was applied at 2.24 and 3.36 kg/ha 23 to 29 days before harvest, or at 3.36 kg/ha applied 15 to 21 days before harvest. At alternating temperatures (10.6 C for 72 h followed by 30 C for 72 h), all treatments applied 23 to 29 days before harvest reduced soybean seed germination; glyphosate at 1.12, 1.68, and 3.36 kg/ha applied 15 to 21 days before harvest also reduced germination. Seed from plots treated with glyphosate 23 to 29 or 15 to 21 days before harvest produced atypical soybean plants. Glyphosate at 2.24 and 3.36 kg/ha applied 23 to 29 days before harvest reduced the oil content in soybean seed, but none of the treatments consistently affected the protein content.

scholarly journals Identification of additive and epistatic effects QTLs for seed oil content in soybean based on an integrating map of two RIL populations

2020 ◽  
Author(s):  
Yue Wang ◽  
Shulin Liu ◽  
Jiajing Wang ◽  
Chang Yang ◽  
Zhixi Tian ◽  
...  
Keyword(s):  
Oil Content ◽  
Seed Oil ◽  
Fatty Acid Biosynthesis ◽  
Soybean Seed ◽  
Additive Effect ◽  
Human Consumption ◽  
Environment Interaction ◽  
Potential Candidate ◽  
Seed Oil Content ◽  
Epistatic Effects

Abstract Background Soybean seed oil has been widely used in human consumption and industrial production. Results In order to identify the additive and epistatic effects QTLs and QTLs by environments interactions (AE and AAE) for seed oil content in soybean, an eight-environment conjoint analysis based on two populations RIL3613 and RIL6013 with an integrating map was conducted. An new high-density integrated genetic map containing 2212 SNP markers and covering 5718.01 cM with an average distance of 2.61 cM were constructed by the combination of two linkage maps of two associated recombinant inbred line (A-RIL) populations. A total of 64 additive effect and additive × environment interaction (AE) QTL were identified on 19 chromosomes by both ICIM and IM methods, and the proportion of phenotypic variations explained (PVE) range of QTL related to oil content was 1.29–10.75%, of which 19 QTLs had overlapping marker intervals, and qOil-5-1 was identified simultaneously in both RIL populations. Compared with previous SSR positioning results, it is found 8 SNP sites within the QTL physical interval located in the SSR sites. Among them, 4 QTLs were new found. Twelve pairs of epistatic QTLs (additive × additive, AA) and QTL interactions with environments (AAE) for oil content were identified by the ICIM method, of which 3 QTLs were new found, and 2 additive effect QTLs, qOil-9-2 and qOil-15-1, linked to the other two QTLs to produce epistatic effects. A total of 5 potential candidate genes were identified based on genetic ontology and annotated information showing the relationship with seed oil content and/or fatty acid biosynthesis and metabolism. Conclusion These QTLs with different effects provide the good basis for molecular-assisted breeding of soybean oil content-related traits and further fine mapping of related genes.

Genetic variation for seed yield, protein content, oil content, and seed weight in Lupinus albus

1977 ◽  
Vol 28 (5) ◽  
pp. 785 ◽  
Author(s):  
AG Green ◽  
RN Oram ◽  
BJ Read
Keyword(s):  
Protein Content ◽  
Seed Weight ◽  
Oil Content ◽  
Lupinus Albus ◽  
Genetic Correlations ◽  
Transgressive Segregation ◽  
Phenotypic Variance ◽  
Environment Interaction ◽  
Mean Values ◽  
Favourable Environment

The yield, protein content, oil content and weight of seeds of 14 lines of L. albus and of 232 F3 families derived from them have been determined in a favourable environment to assess the potential for the genetic improvement of this species. Yield and protein content exhibited wide variability around mean values of 1705 kg ha-l and 38.4% respectively. Their broad sense heritabilities were 57% and 83% respectively, and neither character showed significant variety x environment interaction when parental lines were grown in two contrasting environments which significantly affected the mean values. These characters were predicted to respond to selection, but progress would be hindered by a genetic correlation between them of –0.53. Oil content had a low mean (9.1%), high heritability (90%), but a low phenotypic variance, and hence would respond little to selection. It also was subject to variety x environment interaction. Seed size should respond readily to selection. No other unfavourable genetic correlations were found between flowering time, yield, protein and oil contents, and seed weight. Transgressive segregation was common in F3 families, many of which had lower protein, higher oil or smaller seeds than either of their parents.

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