Agronomic performance and stability of seed, protein and oil yields of seven soybean cultivars determined in field experiments in Slovenia

Flajšman, Marko; Šantavec, I.; Kolmanič, Aleš; Košmelj, Katarina; Kocjan-Ačko, Darja

doi:10.2298/gensr1901031f

Cited by 11 publications

(9 citation statements)

References 37 publications

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“…KOBAREI et al (2011), reported 43-44% reduction in soybean yield under stressful conditions compared to normal conditions. Similar results were reported by FLAJŠMAN et al (2019).…”

Section: Methodssupporting

confidence: 92%

Decrease of yield components and morphological traits of soybean full-sibs under drought conditions

et al. 2020

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Soybean, as a plant species, is native to regions with conditions favourable of humidity and temperatures for its growth and development. The expansion of the soybean growing area resulted in requirements of varieties with higher tolerance and more stable grain yield under drought conditions. In order to develop high yielding varieties, the method of full-sib (FS) selection was applied in this study, as one of many methods of recurrent selection. The basic principle of recurrent selection is a cyclic selection, with the aim to accumulate favourable alleles. Three most yielding F2:3 sister lines obtained from the crossing combination of varieties Kunitz and Kador, were used for two combinations. Progenies of two FS crossing combinations were tested in two locations during two years (2011 with more favourable and 2012 with less favourable precipitation distribution). The values of grain yield per plant, the most important components of yield and morphological traits decreased under less favourable conditions. The highest decrease was recorded in the number of pods and the number of grains per plant, whereas the lowest decrease was found for the 1000-grain weight. Regardless of the relatedness of the tested material, significant differences in response to drought were observed not only between two FS progenies, but also within progenies of each combination. Soybean grain yield is a complex trait strongly affected by environmental conditions. Under unfavourable conditions, the reductions in the following traits were observed in progenies of two sister combinations: grain yield per plant (26.5-36.0% and 25.6-42.7%), number of pods per plant (18.6-33.0% and 12.6-38.2%) and the number of grains per plant (18.1-30.2% and 14.3-37.6%). Three progenies of FS crossings with the lowest yield reduction were identified as suitable initial material for the development of varieties with higher tolerance to drought conditions.

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“…KOBAREI et al (2011), reported 43-44% reduction in soybean yield under stressful conditions compared to normal conditions. Similar results were reported by FLAJŠMAN et al (2019).…”

Section: Methodssupporting

confidence: 92%

Decrease of yield components and morphological traits of soybean full-sibs under drought conditions

et al. 2020

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“…Correlation analysis of some chosen traits showed different interdependence between measured variables depending on the environment. The results of this study pointed out that among the seven tested varieties, ES Mentor, NS Mercury and NS Favorit were best genotypes (FLAJŠMAN et al, 2019).…”

Section: Correlations Of Examined Traitsmentioning

confidence: 69%

“…Therefore, soybean varieties must be evaluated in field trials at various locations in order to explore the duration of the growing period and capacity of yield, which is based on interactions between genotype and environment. Results of FLAJŠMAN et al (2019) showed that variety and environment had a significant impact on all measured variables. In almost all tested environments the best varieties were ES Mentor (3425-5628 kg seed/ha) and NS Mercury (3468-5342 kg seed ha -1 ).…”

Section: Correlations Of Examined Traitsmentioning

confidence: 98%

“…The environment can have a crucial influence on soybean production in particular regions, even more so when production environments are different from optimum breeding environments (FLAJŠMAN et al, 2019). The effectiveness of selection work is determined by the availability of valuable initial material for the creation of forms that are resistant to environmental stress factors (NAUMKIN et al, 2012).…”

Section: Introductionmentioning

confidence: 99%

“…Numerous authors use different yield stability statistics to evaluate performance of tested genotypes (YAN and RAJCAN, 2003), e.g. GGE biplot (MATEI et al, 2018;FLAJŠMAN et al, 2019), regression (b), (LIMA et al, 2000), coefficients of variation (Cv) (POPOVIĆ et al, 2012), amongst others. Interestingly, however, all stability indices are relative to each study and determine the best genotype among tested cultivars.…”

Section: Introductionmentioning

confidence: 99%

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Genotype by year interaction effects on soybean morpho-productive traits and biogas production

et al. 2020

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Biodiesel and biogas are especially important sources of renewable energy in the world and in Serbia. Biodiesel is used as transportation fuel; biogas is used for production of electricity and heat. Soybean (Glycine max L.) grain is the primary source of vegetable protein for food and feed supplements, also accounts for much of the world?s bio-oil supply. Due to the development of new technologies for processing agricultural waste into energy, the rate of increase in the use of alternative fuels is significantly increasing. The aim of this study was to determine the productivity of soybeans and the possibility of obtaining biogas from soybeans in divergent years, 2017-2019. Main effects were monitored, genotypes (G), years (Y) and genotype by years interaction effects (G x Y) and were used for evaluation of soybean genotypes in different environments. Soybean varieties were tested for mass of 1000 grain (MTG), plant height (PH), grain yields (GY) and biogas yield (BY). Stability of grain and biogas yield was determined to select best genotype. Results showed that genotype and years had a significant impact on all measured variables. In all tested years, the biggest GY and BY were at genotypes G1 (2.40-4.49 t ha-1, and 461.00-641.00 m3 ha-1, respectively) and G3 (1.97-4.30 t ha-1; i.e. 447.67-620.00 m3 ha-1). Genotype G2 had statistically significantly lower values for all tested parameters compared to other tested genotypes. Correlation analysis of some chosen traits showed different interdependence between measured variables depending on the year conditions. The results of this study pointed out that among best genotypes for production of grain and biogas were G1 and G3. From the results of this study it can be concluded that G x Y trials are important for evaluation of stability and choosing the most stable genotypes of soybean.

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Evaluating genetic diversity and seed composition stability within Pan‐African Soybean Variety Trials

De Meyer,

Prenger,

Mahmood

et al. 2024

Crop Science

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Given high animal protein costs, protein deficiency is a prevalent form of malnutrition in sub‐Saharan Africa (SSA). Soybean [Glycine max (L.) Merr.] can provide a cheaper high‐quality protein source and fortify lysine‐limited cereal‐based diets. Breeding soybean for seed composition in SSA requires understanding genotype by environment interactions (G × E). African breeding programs submit cultivars for evaluation in the Pan‐African Soybean Variety Trials (PATs), providing the opportunity to examine G × E across diverse environments. With PAT data, we conducted additive main effects and multiplicative interaction (AMMI) and genotype plus genotype‐by‐environment (GGE) biplot analyses on seed protein and oil content of 17 cultivars grown with two replications in nine environments across Zimbabwe. Across environments, protein ranged from 322.8 to 445.1 g kg−1 and oil ranged from 164.8 to 242.7 g kg−1. For protein AMMI analysis, MAKWACHA performed best for both stability and a combination of stability plus content. For oil AMMI analysis, SC SPIKE performed best for stability and KALEYA performed best for a combination of stability plus content. GGE biplot analyses identified three different mega‐environments for protein and oil, with SC EXPT2, KALEYA, and SC EXPT1 having highest protein content and TGX 2002‐9FM, LUKANGA, and SC EXPT3 having highest oil content. We also evaluated genetic diversity of 19 PAT cultivars through phylogenetic analyses with 1059 USDA Germplasm Resources Information Network (GRIN) diversity panel accessions. We recommend stable and adaptable PAT cultivars to breeders and producers while highlighting genetically distinct accessions with valuable traits as a resource for breeding programs.

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Agronomic performance and stability of seed, protein and oil yields of seven soybean cultivars determined in field experiments in Slovenia

Cited by 11 publications

References 37 publications

Decrease of yield components and morphological traits of soybean full-sibs under drought conditions

Decrease of yield components and morphological traits of soybean full-sibs under drought conditions

Genotype by year interaction effects on soybean morpho-productive traits and biogas production

Evaluating genetic diversity and seed composition stability within Pan‐African Soybean Variety Trials

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