scholarly journals Environmental Stratification in Trials of Unbalanced Multiyear Soybean (Glycine max (l.) Merril) via the Integration of GGE Biplot Graphs and Networks of Environmental Similarity

2021 ◽  
Author(s):  
Fernanda Cupertino ◽  
Francisco Charles Santos Silva ◽  
Pedro Crescêncio Souza Carneiro ◽  
Luiz Alexandre Peternelli ◽  
Leonardo Lopes Bhering ◽  
...  
Keyword(s):  
Glycine Max ◽  
Efficient Method ◽  
Gge Biplot ◽  
Ge Interaction ◽  
Breeding Programs ◽  
Graphs And Networks ◽  
Environmental Similarity ◽  
Glycine Max L ◽  
Environmental Stratification ◽  
Gge Biplots

Abstract Genotype x enviroment (GE) interaction can difficult soybean breeding programs to atieve the aim of obtain more productive cultivars. Enviroment stratification is a way to circunvent this problem. This work aimed to gather GGE Biplot graphs of a network of trials unbalance multiyear soybean via matrices of coincidence and networks of enviroment to optimize environmental stratification. Data from an experimental network of 43 trials was used, these experiments were implanted during the crop seasons of 2011/12, 2012/13, 2013/14 and 2015/16 in Brazil. The GE interaction were statistically significant for all 43 trials. The step by step of our analses was: GGE Biplots graphs were obtained; the enviroment coincidence matrices were calculated; the values of matrices were used for to obtain the networks of environmental similarity. The study demonstrated that by the method was possible to identify, using unbalanced multiyear data, the formation of four mega-environments. Therefore, integrating GGE Biplot graphs and networks of environmental similarity is an efficient method to optimize a soybean program by environment stratification.

scholarly journals Evaluation of genetic diversity in 19 Glycine max (L.) Merr. accessions included in the Czech National Collection of soybean genotypes

2012 ◽  
Vol 38 (No. 2) ◽  
pp. 69-74 ◽  
Author(s):  
M. Baránek ◽  
M. Kadlec ◽  
J. Raddová ◽  
M. Vachůn ◽  
M. Pidra
Keyword(s):  
Genetic Diversity ◽  
Glycine Max ◽  
Random Amplified Polymorphic Dna ◽  
Breeding Programs ◽  
Low Level ◽  
Low Degree ◽  
Soybean Genotypes ◽  
Glycine Max L ◽  
Rapd Polymorphism ◽  
Selection Of

The random amplified polymorphic DNA (RAPD) technique was used to evaluate both genetic diversity among 19 soybean accessions included in the Czech National Collection of Soybean Genotypes and their potential as a new source of genetic variations for soybean breeding programs. Only 22 of all the 40 random primers used in RAPD reactions showed polymorphism acceptable for an effective characterisation of these accessions. Altogether 122 highly reproducible RAPD fragments were generated, 55 of them were polymorphic (46%). However, because of the previously observed low degree of RAPD polymorphism in the case of Glycine max, fragments with low level of informativeness were evaluated, too. Presented results enable the selection of genetically distinct individuals. Such information may be useful to breeders willing to use genetically diverse introductions in soybean improvement process. 

scholarly journals Response of Soybean Accessions from Provinces in Southern China to Phytophthora sojae

Plant Disease ◽  
1998 ◽  
Vol 82 (5) ◽  
pp. 555-559 ◽  
Author(s):  
D. E. Kyle ◽  
C. D. Nickell ◽  
R. L. Nelson ◽  
W. L. Pedersen
Keyword(s):  
Glycine Max ◽  
Resistance Genes ◽  
Southern China ◽  
Phytophthora Sojae ◽  
Sources Of Resistance ◽  
Breeding Programs ◽  
Inoculation Technique ◽  
The World ◽  
Glycine Max L ◽  
Phytophthora Rot

Phytophthora rot, caused by Phytophthora sojae, is a damaging disease of soybean (Glycine max (L.) Merr.) throughout the soybean-producing regions of the world. The discovery of new sources of resistance in soybean is vital in maintaining control of Phytophthora rot, because races of the pathogen have been discovered that can attack cultivars with commonly used resistance genes. The objectives of this study were to investigate the distribution and diversity of Phytophthora-resistant soybean in southern China and identify sources that confer resistance to multiple races for implementation into breeding programs. Soybean accessions obtained from southern China were evaluated for their response to races 1, 3, 4, 5, 7, 10, 12, 17, 20, and 25 of P. sojae using the hypocotyl inoculation technique in the greenhouse at Urbana, Illinois in 1996 and 1997. Accessions were identified that confer resistant responses to multiple races of the pathogen. These accessions may provide sources of resistance for control of Phytophthora rot of soybean in the future. The majority of the accessions with resistance to eight or more of the ten races tested were from the provinces of Hubei, Jiangsu, and Sichuan in southern China. Based on the evaluated accessions, these provinces appear to be valuable sources of Phytophthora-resistant soybean.

PHENOTYPIC EVALUATION OF FIFTEEN GLYCINE MAX (L.) MERRILL (VEGETABLE SOYBEAN) VARIETIES UNDER MINERAL AND BRIS SOILS OF MALAYSIA

2015 ◽  
Vol 77 (24) ◽  
Author(s):  
Siti Nurul Farhana Abu Bakar ◽  
Ing Chia Phang ◽  
Mohd Shukor Nordin ◽  
Maizatul Akma Ibrahim
Keyword(s):  
Glycine Max ◽  
Mineral Soil ◽  
The Other ◽  
Phenotypic Traits ◽  
Vegetable Soybean ◽  
Phenotypic Characteristics ◽  
Breeding Programs ◽  
Glycine Max L ◽  
Development Center ◽  
Selection Of

Glycine max (L.) Merrill (vegetable soybean) is an important vegetable mainly among the Asian community.  It is mainly consumed by human as a highly nutritious and savory snack.  Instead of having a relatively higher protein and lower oil contents, it is also has a sweet and better tasting.  Thus, this study aims to investigate the phenotypic characteristics of fifteen varieties of Glycine max (L.) Merrill developed by the Asian Vegetable Research and Development Center (AVRDC), Taiwan in order to select the potential varieties to be planted under Malaysian environments.  The fifteen varieties were planted under mineral and bris soils at International Islamic University Malaysia (IIUM) Kuantan, Pahang.  Eight phenotypic traits included the seed numbers per plant, the pod numbers per plant, the weight of fifteen seeds per plant, the days to emergence per plant, the days to flowering per plant, the plants height per plant, the pods width per plant and the pods length per plant were measured.  Selection of potential varieties were mainly done by determining the yielding characteristics.  Among these eight morpho-agronomic characteristics, the seed numbers per plant is the main yield determinant while, the other characteristics would be useful for future breeding programs.  From the observation, Variety 4 (AGS429) obtained the highest seed numbers per plant (81 seeds) under mineral soil and Variety 1 (AGS 190) produced the highest seed numbers per plant (91 seeds) under bris soil, thus having the promising higher yielding ability to be selected as a potential vegetable soybean varieties to be planted under Malaysian conditions. 

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

scholarly journals An Assessment of Soybean (Glycine max, L. Merrill) Grain Yield in Different Environments Using AMMI and GGE Biplot Models in Humidorest Fringes of Southeast Nigeria

2015 ◽  
Vol 48 (3-4) ◽  
pp. 82-90 ◽  
Author(s):  
Richmond Emuohwo Edugbo ◽  
Godson Emeka Nwofia ◽  
Lawrence Stephen Fayeun
Keyword(s):  
Glycine Max ◽  
Grain Yield ◽  
Positive Interactions ◽  
Gge Biplot ◽  
Planting Dates ◽  
Genotype By Environment ◽  
Main Effect ◽  
Glycine Max L ◽  
Superior Genotypes ◽  
Target Set

Abstract The yield of four soybean (Glycine max, L. Merrill) genotypes under six planting dates in two years was assessed using the Additive Main Effect and Multiplicative Interaction (AMMI) and Genotype and Genotype-by-Environment biplot models. The results of combined analysis of variance for grain yield of the four genotypes of soybean grown in 12 environments showed that soybean grain yield was significantly (P < 0.01) affected by environments (E), genotypes (G) and genotype by environment interactions (GE). Genotypes and environments accounted for about 6.56% and 47.66% of the variation, respectively, while the GE explained 14.47% of the variation, which is more than double of the genotypic effects of the total variation. AMMI biplot indicated genotype TGx1485-1D and the early July 2012 environment were above average for grain yield and had positive specific interactions with each other. However, TGx1485-1D had negative interactions with the other environments while genotypesTGx14482E, TGx1987-10F and TGx1835-10E had positive interactions with all the environments except E5. In the differential yield ranking of genotypes across the twelve environments TGx1485-1D had the highest yield in seven out of the twelve environments. TGx1835-10E was the highest yielding genotype in three environments, while TGx1448-2E gave the greatest yield in two environments. Although TGx1485-1D exhibited high GEI, in the GGE biplot it was ranked as the most desirable genotype. GGE biplot identified early July 2012(E5) as the best environment. The result showed that application of AMMI and GGE biplots facilitates visual comparison and identified superior genotypes for each target set of environments.

Prevalence of the pit and antipit in the genus Glycine

1987 ◽  
Vol 45 ◽  
pp. 986-987
Author(s):  
R. W. Yaklich ◽  
E. L. Vigil ◽  
W. P. Wergin
Keyword(s):  
Amino Acids ◽  
Endoplasmic Reticulum ◽  
Glycine Max ◽  
Seed Coat ◽  
Cell Types ◽  
Abaxial Surface ◽  
Legume Seed ◽  
Initial Report ◽  
Cone Cells ◽  
Glycine Max L

The legume seed coat is the site of sucrose unloading and the metabolism of imported ureides and synthesis of amino acids for the developing embryo. The cell types directly responsible for these functions in the seed coat are not known. We recently described a convex layer of tissue on the inside surface of the soybean (Glycine max L. Merr.) seed coat that was termed “antipit” because it was in direct opposition to the concave pit on the abaxial surface of the cotyledon. Cone cells of the antipit contained numerous hypertrophied Golgi apparatus and laminated rough endoplasmic reticulum common to actively secreting cells. The initial report by Dzikowski (1936) described the morphology of the pit and antipit in G. max and found these structures in only 68 of the 169 seed accessions examined.

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