Evaluation of SSR and important agronomical characters of promising mutant lines of soybean

Abstract. Asadi, Dewi N, Nugroho K, Terryana RT, Mastur, Lestari P. 2020. Evaluation of SSR and important agronomical characters of promising mutant lines of soybean. Biodiversitas 21: 299-310. Improved soybean (Glycine max (L.) Merr.) varieties resistant to major pest or disease, and in accordance with consumer preferences are important in breeding programs to raise their productivity. Identification of superior promising mutant lines of soybean before releasing them needs multiple environment trials complemented with molecular assay. This study aimed to assess morpho-agronomical and molecular characters using SSR markers of promising mutant lines of soybean (Glycine max (L.) Merr.). A total of 14 SSR markers were used to evaluate 20 mutant lines along with their parental lines and check varieties, and eight different locations were chosen to field evaluation of 11 selected lines induced by gamma-ray. Values of Polymorphism Information Content, allele number, and gene diversity index were high, indicating the great genetic diversity among these mutant lines, and far distant from their parental lines. Phylogenetic tree also supported the distinguishable among gamma ray-induced mutant lines compared to the parental lines. The significant interaction between promising line and environment showed their high adaptability and stable yield in various environments. Biosoy-8 (2.713 ton/ha) and Biosoy-11 (2.631 ton/ha) revealing the high yields lines supported with the molecular information could be potential to be released as new varieties and can direct their efficient utilization for field application or further improvement scheme.

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Utilisation of SSRs for Characterisation of the Soybean (Glycine max (L.) Merr.) Genetic Resources

Czech Journal of Genetics and Plant Breeding ◽

10.17221/3729-cjgpb ◽

2011 ◽

Vol 39 (No. 4) ◽

pp. 120-126 ◽

Cited By ~ 10

Author(s):

M. Hudcovicová ◽

J. Kraic

Keyword(s):

Glycine Max ◽

Genetic Resources ◽

Ssr Markers ◽

Gene Diversity ◽

High Potential ◽

Soybean Genotypes ◽

Glycine Max L

The SSR profiles of 67 soybean genotypes of various origins have been detected by 188 alleles at the 18 SSR loci. From 4 to 21 alleles were found at each of these loci (average 10.4 per locus) and the gene diversity averaged 0.71. Differentiation of all 67 genotypes each from others has been successful by using of even only 6 of SSR markers (Sat001, Satt005, Satt038, Satt173, Satt177, Satt534) with gene diversity from 0.66 to 0.89. The cumulated probability of obtaining identical soybean SSR profile was 1.11 × 10<sup>–9 </sup>, which confirms a high potential of SSRs for differentiation of soybean accessions in collections. Clustering of genotypes partially reflects origin and pedigree of analysed soybean accessions.  

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Genetic diversity of European commercial soybean [Glycine max (L.) Merr.] germplasm revealed by SSR markers

Genetic Resources and Crop Evolution ◽

10.1007/s10722-020-00934-3 ◽

2020 ◽

Vol 67 (6) ◽

pp. 1587-1600

Author(s):

Maja Žulj Mihaljević ◽

Hrvoje Šarčević ◽

Ana Lovrić ◽

Zoe Andrijanić ◽

Aleksandra Sudarić ◽

...

Keyword(s):

Genetic Diversity ◽

Glycine Max ◽

Ssr Markers ◽

Glycine Max L

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Genetic Divergence and Heritability Study of Some NERICA Mutant Lines and Their Parents Using Microsatellites Marker and Morphological Traits in Rice

Asian Journal of Advances in Agricultural Research ◽

10.9734/ajaar/2019/v11i130045 ◽

2019 ◽

pp. 1-14

Author(s):

Md. Ashraful Islam ◽

Touhidur Rahman Anik ◽

Saikat Chandra Dey ◽

Mirza Mofazzal Islam

Keyword(s):

Ssr Markers ◽

Morphological Traits ◽

Gene Diversity ◽

Rice Variety ◽

Climatic Conditions ◽

Tiller Number ◽

Genetic Advance ◽

Panicle Number ◽

The Mean ◽

Mutant Lines

New Rice of Africa (NERICA) is drought tolerant and early maturing inter specific rice variety which was introduced in Bangladesh from Uganda in 2009. But the field record of NERICA was not very promising. In order to develop NERICA varieties suitable for agro-climatic conditions of Bangladesh different variations in yield contributing characters are required.In the experiment, physical mutagen treated (250, 300 and 350 Gy Gamma-rays) 18 NERICA mutant lines were selected from M4 to M5 generations along with 3 parents (NERICA-1, NERICA-4, NERICA-10) for morphological and molecular evaluation in orderto identify desired mutant linesusing 12 yield attributing characters and 3 simple sequence repeat (SSR) markers. We also estimated heritability, genetic advance and correlation among the studied morphological traits to identify besttraits based on which further selection could be made. Pearson’s correlation co-efficient of 12 morphological traits indicated that yield per plant had significant positive correlation with the number of tiller, number of effective tiller, panicle length, number of filled grainsper panicle and 1000 grain weight but negative correlation with Plant height and days to maturity. Broad sense heritability ( ) ranged from 71% to 99% while genetic advances in percent mean (GA%) varied from 10% to 60%. Yield per plant, unfilled grains per panicle, number of total tiller, number of effective tiller showed high heritability along with genetic advance as percent of the mean (GA%) value. A total of 24 alleles were detected by 3 SSR markers. The mean gene diversity and Polymorphism Information Content (PIC) values was 0.821 and 0.797, respectively. Dendrogram constructed based on SSR markers clustered the genotypes into six distinct clusters. Combining molecular and morphological evaluation data eight mutant lines, N10/300/P-2-3-5, N10/300/P-2-3-5, N10/300/P-2-3-5-2, N1/300/P-2-3-5, N1/300/P-2-3-5, N1/250/P-7-6-4-1, N10/300/P-2(1)-4-1 and N1/250/P-7-3-7-1were selected as desired mutant lines having good yield attributing characters and could be recommended for further evaluation in rice breeding program.

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

Agronomy ◽

10.3390/agronomy11112207 ◽

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.

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A Line Lacking all the Seed Lipoxygenase Isozymes in Soybean (Glycine max(L.)MERRILL) Induced by gamma-ray Irradiation.

Ikushugaku zasshi ◽

10.1270/jsbbs1951.41.507 ◽

1991 ◽

Vol 41 (3) ◽

pp. 507-509 ◽

Cited By ~ 37

Author(s):

Makita HAJIKA ◽

Kazunori IGITA ◽

Keisuke KITAMURA

Keyword(s):

Glycine Max ◽

Gamma Ray ◽

Glycine Max L ◽

Gamma Ray Irradiation

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Identification Genetic of Soybean Mutant (Glycine max L. Merril) Based on Fatty Acid Characters Using Simple Sequence Repeat (SSR) Markers

Proceedings of the The 3rd International Conference Community Research and Service Engagements, IC2RSE 2019, 4th December 2019, North Sumatra, Indonesia ◽

10.4108/eai.4-12-2019.2293861 ◽

2020 ◽

Author(s):

Hafizha Barus ◽

Eva Bayu ◽

Diana Hanafiah

Keyword(s):

Glycine Max ◽

Fatty Acid ◽

Ssr Markers ◽

Simple Sequence Repeat ◽

Sequence Repeat ◽

Glycine Max L ◽

Simple Sequence

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Inheritance of the .ALPHA.-subunit Deficiency of .BETA.-conglycinin in Soybean(Glycine max L. MERRILL) Line Induced by .GAMMA.-ray Irradiation.

Ikushugaku zasshi ◽

10.1270/jsbbs1951.46.251 ◽

1996 ◽

Vol 46 (3) ◽

pp. 251-255 ◽

Cited By ~ 1

Author(s):

Koji Takahashi ◽

Yukiko Mizuno ◽

Setsuzo Yumoto ◽

Keisuke Kitamura ◽

Shigeki Nakamura

Keyword(s):

Glycine Max ◽

Gamma Ray ◽

Alpha Subunit ◽

Glycine Max L ◽

Gamma Ray Irradiation

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Genetic Diversity of Aromatic Rice Germplasm Revealed By SSR Markers

BioMed Research International ◽

10.1155/2018/7658032 ◽

2018 ◽

Vol 2018 ◽

pp. 1-11 ◽

Cited By ~ 20

Author(s):

Saba Jasim Aljumaili ◽

M. Y. Rafii ◽

M. A. Latif ◽

Siti Zaharah Sakimin ◽

Ibrahim Wasiu Arolu ◽

...

Keyword(s):

Genetic Diversity ◽

Ssr Markers ◽

Diversity Index ◽

Gene Diversity ◽

Allelic Diversity ◽

Peninsular Malaysia ◽

Breeding Program ◽

Aromatic Rice ◽

Information Index ◽

Rice Germplasm

Aromatic rice cultivars constitute a small but special group of rice and are considered the best in terms of quality and aroma. Aroma is one of the most significant quality traits of rice, and variety with aroma has a higher price in the market. This research was carried out to study the genetic diversity among the 50 aromatic rice accessions from three regions (Peninsular Malaysia, Sabah, and Sarawak) with 3 released varieties as a control using the 32 simple sequence repeat (SSR) markers. The objectives of this research were to quantify the genetic divergence of aromatic rice accessions using SSR markers and to identify the potential accessions for introgression into the existing rice breeding program. Genetic diversity index among the three populations such as Shannon information index (I) ranged from 0.25 in control to 0.98 in Sabah population. The mean numbers of effective alleles and Shannon’s information index were 0.36 and 64.90%, respectively. Similarly, the allelic diversity was very high with mean expected heterozygosity (He) of 0.60 and mean Nei’s gene diversity index of 0.36. The dendrogram based on UPGMA and Nei’s genetic distance classified the 53 rice accessions into 10 clusters. Analysis of molecular variance (AMOVA) revealed that 89% of the total variation observed in this germplasm came from within the populations, while 11% of the variation emanated among the populations. These results reflect the high genetic differentiation existing in this aromatic rice germplasm. Using all these criteria and indices, seven accessions (Acc9993, Acc6288, Acc6893, Acc7580, Acc6009, Acc9956, and Acc11816) from three populations have been identified and selected for further evaluation before introgression into the existing breeding program and for future aromatic rice varietal development.

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