Molecular Characterization and Stability Analysis for Yield and its Components Traits in Soybean (Glycine max L.)

Abstract

Seven soybean entries namely;(Crawford, Giza 21, Giza 22, Giza 35, Giza 82, Giza 83 and Giza 111) with different reaction for highly yielding, tolerance for salinity, water deficit conditions and resistance for diseases were evaluated under twelve environments through two years (2015, 2016 seasons), three locations (the farm of agricultural research in Mansoura city, Dakahlia Governorate, the farm of agriculture research center, Sakha station Kafr El-Sheikh governorate and the farm of national research Centre in Nubaria, Beheira Governorate, Egypt) in addition two planting dates (the first planting date was 15 may, while the second date was 1 June) to study the range of genetic stability, the behavior responsible for the persistence cultivar, the interactions between these cultivars and all different environments and their effect on some yield components, respectively. Stability analysis was done using data calculated obtained from plant height, first pod height, number of pods/plant, 1000-grain weight, number of grains/plant, grain weight/plant and grain yield/plant traits beside (Random amplified polymorphic DNA (RAPD) through using four primers for the previous seven cultivars. The final results revealed that mean square variances of (Genotypes x Environments), (Environments+(Genotypes x Environments), the linear components of (Environments) and (Genotypes x Environments) and pooled deviation were highly significant and detected that the genotypes; (Crawford, Giza 21, Giza 22, Giza 35, Giza 83, Giza 111) were the most genetic stability entries according to the results of stability analysis specially (bi, S 2 di, R 2 ) and recommended for using it under different environments, while the cultivar (Giza 82) coming in the second rank. Heritability in broad sense was high in plant height, number of pods/plant and grain yield/plant traits which indicated that the environment effect on these traits through using the previous entries was very low with intension the genetic stability unlike the rest of traits studied. DNA Fingerprinting analysis was conducted to compare between the seven soybean entries using four primers namely; (OPC10, OPF-4, OPA-17, and OPG-5). The four primers recorded 12 amplicons, where 8 of them were polymorphic with 66.67% polymorphism, while 4 fragments were monomorphic. Cluster analysis divided the seven genotypes into two main clusters, where the first one contained the genotypes (2, 4), while the second cluster involved the rest of genotypes, respectively.

Molecular genetic studies on abiotic stress resistance in sorghum entries through using half diallel analysis and inter-simple sequence repeat (ISSR) markers

“…For SCA effects, we note that the five previous promising hybrids which have excelled for heterosis over better parent and SCA effects can continue to be cultivated and evaluated for several generations under the normal and drought conditions with simple selection after each segregation generation to reach to the maximum genetic stability that can be achieved and in finally obtaining lines that are highly yielding, resistant to disease, and tolerant to salinity and water deficit under Egyptian conditions. These results were in agreement with those reported by , El-Mouhamady (2009), El-keredy et al (2003, Esmail et al (2016, Eldessouky et al (2016), Ramadan et al (2016), Khatab et al (2017), and Khatab et al (2019).…”

Genetic stability analysis and molecular depiction in elite entries of rice (Oryza sativa L.)

“…On the same track, Onyia et al (2017) lectured genetic variability and rapport of some agronomic characters of rice and their assists for yield by using 12 rice entries for expansion and yield manifestation in south-eastern Nigeria and detected that the entries ITA 150,and FAROX 16 (LC)) recorded the highest stable production genotypes within two seasons of the trial. While genetic stability and heritability in the broad sense were found in seven soybean genotypes in three regions, two sowing dates and two seasons were estimated by El-Mouhamady et al (2017) who confirmed that the entries (Crawford,Giza 21,Giza 22,Giza 35,Giza 83,and Giza 111) were recorded as highly genetically stable according to the data of stability analysis under all conditions. The genetic stability that was discussed included certain traits, especially grain yield/ plant in some promising rice entries under control and water-deficit conditions pending venereal interval and the final results confirmed that the entries (IR83142-B-7-B-B, Binuhangin, IR77298-14-1-2-13, IR70215-70-CPA-3-4-1-3, and IR77298-14-1-2) recorded high genetic stability and were better stable for the final production of yielding under the two conditions over 11 years, respectively (Torres and Henry 2018).…”

“…The results of stability parameter bi may be indicated by the damaging of the genetic stability and the ambit of acclimating for these lines under various types of conditions beside, this diverse may be alteration from line to line according to the kind of this environment conditions, while the S 2 di parameter results revealed the optimum values for the highest entries for genetic stability and showed the better mean values for all studied traits under the 12 experiments, so the lines 1, 3, 4, and 5 came in the first rank for highly genetic stability under any conditions for the 12 environments, while the line numbers 2, 6, and 7 exhibited the second track in this regard (Table 13) (El-Mouhamady et al 2017). Results of R 2 showed that the lines number (1, 3, 4, and 5) were recorded highly genetically stable under all conditions particularly with better agricultural administration.…”