scholarly journals Combining Ability of Selected Soybean [Glycine max (L.) Merrill] Parental Lines

2021 ◽  
Author(s):  
Gbemisola O. Otusanya ◽  
G. Chigeza ◽  
S. Chander ◽  
A.T. Abebe ◽  
O.O. Sobowale ◽  
...  
Keyword(s):  
Seed Yield ◽  
Combining Ability ◽  
Block Design ◽  
Soybean Genotypes ◽  
Glycine Max L ◽  
Parental Lines ◽  
F2 Generation ◽  
Result Analysis ◽  
Hybridization Programme ◽  
Partial Diallel

Background: The success of hybridization programme depends on the combining ability of parental lines. Methods: Seven soybean genotypes and all their partial diallel crosses in the F2 generation were evaluated in a randomized complete block design at two locations in Nigeria, during the 2017-2018 growing season. Result: Analysis of variance showed that both environments and genotypes were significantly different for all measured traits. The genotype TGx 1988-5F was the best general combiner for earliness in flowering and poding, while TGx 1448-2E was the best general combiner for number of pods/plant and seed yield/plant. Crosses having significant and positive specific combining ability effect for number of pods/plant and seed yield/plant were TGx 1485-1D × TGx 1448-2E and TGx 1988-5F × TGx 1989-19F, respectively. Genotypes TGx 1988-5F and TGx 1448-2E exhibiting good general combining ability for earliness and seed yield/plant, are thus, promising for utilization in the future hybridization programme for soybean improvement.

Combining ability and heterosis studies across environments in linseed (Linum usitatissimum L.)

2011 ◽  
Vol 59 (1) ◽  
pp. 87-102 ◽  
Author(s):  
S. Sood ◽  
N. Kalia ◽  
S. Bhateria
Keyword(s):  
Seed Yield ◽  
Linum Usitatissimum ◽  
Combining Ability ◽  
Yield Components ◽  
Block Design ◽  
Linum Usitatissimum L ◽  
Randomized Block Design ◽  
Component Traits ◽  
Parental Lines ◽  
Fibre Yield

Combining ability and heterosis were calculated for fourteen lines of linseed in a line × tester mating design using twelve lines and two diverse testers in two different environments. The hybrids and parental lines were raised in a completely randomized block design with three replications to investigate seed and fibre yield and their component traits. Genetic variation was significant for most of the traits over environments. Combining ability studies revealed that the lines KL-221 and LCK-9826 were good general combiners for seed yield and most of its components, whereas LMH-62 and LC-2323 were good general combiners for yield components only. Moreover, KL-221 was also a good general combiner for fibre yield. Similarly, B-509 and Ariane were good general combiners for fibre yield and most of its components. Among the specific cross combinations, B-509 × Flak-1 was outstanding for seed yield per plant and B-509 × KL-187 and LC-2323 × LCK-9826 for fibre yield per plant, with high SCA effects. In general, the hybrids excelled their respective parents and the standard checks for most of the characters studied. Based on the comparison of mean performance, SCA effects and the extent of heterosis, the hybrids LC-2323 × LCK-9826 and B-509 × KL-221 appeared to be the most promising for both seed and fibre yield. Other promising combinations were LC-2323 × KL-210 and B-509 × Ariane for seed and fibre yield, respectively. The superiority of LC-2323, LCK-9826, KL-221, B-509 and Ariane as good general combiners was further confirmed by the involvement of these parents in the desirable cross combinations.

Genetic Assessment of Combining Ability for Seed-Yield and Its Related Traits in Soybean [Glycine max (L.) Merrill]

2020 ◽  
Author(s):  
Gbemisola Oluwayemisi Ige ◽  
Godfree Chigeza ◽  
Subhash Chander ◽  
Abebe Tesfaye Abush ◽  
David Kolawole Ojo ◽  
...  
Keyword(s):  
Seed Yield ◽  
Combining Ability ◽  
Agronomic Traits ◽  
Block Design ◽  
Days To Flowering ◽  
Randomized Complete Block Design ◽  
Glycine Max L ◽  
Improvement Programme ◽  
Genetic Assessment ◽  
Made In

Crosses were made in line × tester mating design between a set of five IITA soybean released varieties and three plant introduced (PI) accessions obtained from World Vegetable Center, Taiwan. In order to produce sufficient seeds, F1 crosses were selfed, subsequently F2 populations along with their parents were planted in a randomized complete block design at two locations in Nigeria with three replications. Agronomic traits viz. days to flowering, days to poding, plant height, number of pods/plant and seed yield/plant were measured. Testers and lines showed significant differences for all the measured traits except days to flowering for testers. Considering the significance and magnitude of general combining ability (GCA) effect, line TGx 1988-5F was observed desirable for earliness, while line TGx 1989-19F was the best combiner for number of pods/plant and seed yield/plant. On the other hand, best tester for seed yield was PI 230970. Crosses TGx 1835-10E × PI 459025B and TGx 1987-62F × PI 459025B had significant and highest SCA effect for seed yield/plant. These two crosses appeared to be most promising for soybean yield improvement programme.

scholarly journals Genotypes x Environments Interaction of Soybean Lines in Various Shading Environments

2021 ◽  
pp. 77-92
Author(s):  
Titik Sundari ◽  
G. W. A. Susanto ◽  
Novita Nugrahaeni ◽  
. Suhartina ◽  
. Purwantoro ◽  
...  
Keyword(s):  
Seed Yield ◽  
High Weight ◽  
Regression Coefficient ◽  
Block Design ◽  
Field Research ◽  
Randomized Block Design ◽  
Soybean Genotypes ◽  
Glycine Max L ◽  
Check Variety ◽  
Land Space

Soybean (Glycine max (L) Merr.) planted in land space among stands of other crops especially forest trees experience shading stress due to less sunlight penetration. The objective of the study was to identify the performance and yield stability of soybean genotypes in various shading environments. Field research was conducted in 2018 on 15 soybean genotypes consisted of 12 promising soybean lines and three check varieties (Dena 1, Dena 2, and Grobogan) in 10 shading environments (cassava, maize, orange, teak, eucalyptus, oil palm, and no shading). Randomized block design and repeated four times was used in each location. Result of the study showed that the response of the genotypes to grain yield was significantly difference in each environment or location. Stability of genotypes were grouped into 3, namely 1 genotype classified as unstable and recommended for less optimal environments, 6 genotypes (5 promising lines and 1 check variety) which were classified as stable and adaptive in 10 test locations, and 8 genotypes (6 promising lines and 2 check varieties) classified as unstable in 10 test locations. Based on seed yield and yield components average, one line (Grob/Pander-395-2) had a high average seed yield (1.84 tha-1), high seeds weight per plant (14.8 g), high weight of 100 seeds (21.6 g), and stable in 10 location (indicated by non significant both regression coefficient and regression deviation). Therefore, Grob/Pander-395-2 could be recommended for being grown in shading environments across the country.

Responses of soybean genotypes to intercropping with maize in the Southern Guinea Savanna, Nigeria

2004 ◽  
Vol 52 (2) ◽  
pp. 157-163
Author(s):  
C. U. Egbo ◽  
M. A. Adagba ◽  
D. K. Adedzwa
Keyword(s):  
Seed Yield ◽  
Block Design ◽  
Field Trials ◽  
Yield Response ◽  
Ecological Zone ◽  
Land Equivalent Ratio ◽  
Guinea Savanna ◽  
Days To Maturity ◽  
Soybean Genotypes ◽  
Location Interaction

Field trials were conducted in the wet seasons of 1997 and 1998 at Makurdi, Otukpo and Yandev in the Southern Guinea Savanna ecological zone of Nigeria to study the responses of ten soybean genotypes to intercropping. The experiment was laid out in a randomised complete block design. The genotypes TGX 1807-19F, NCRI-Soy2, Cameroon Late and TGX 1485-1D had the highest grain yield. All the Land Equivalent Ratio (LER) values were higher than unity, indicating that there is great advantage in intercropping maize with soybean. The yield of soybean was positively correlated with the days to 50% flowering, days to maturity, plant height, pods/plant and leaf area, indicating that an improvement in any of these traits will be reflected in an increase in seed yield. There was a significant genotype × yield × location interaction for all traits. This suggests that none of these factors acted independently. Similarly, the genotype × location interaction was more important than the genotype × year interaction for seed yield, indicating that the yield response of the ten soybean genotypes varied across locations rather than across years. Therefore, using more testing sites for evaluation may be more important than the number of years.

scholarly journals Genetic parameters and combining ability of some important traits in rice (Oryza sativa L.)

Genetika ◽  
2017 ◽  
Vol 49 (3) ◽  
pp. 1001-1014 ◽  
Author(s):  
Hasanalideh Haghighi ◽  
Ezatollah Farshadfar ◽  
Mehrzad Allahgholipour
Keyword(s):  
Combining Ability ◽  
Genetic Parameters ◽  
Amylose Content ◽  
Oryza Sativa L ◽  
Block Design ◽  
Regression Line ◽  
Diallel Cross ◽  
Combining Ability Analysis ◽  
Additive Gene ◽  
F2 Generation

In order to study the combining ability, genetic parameters and gene actions of yield, yield components and quality characters in rice, fifteen F2 generation of a 6?6 diallel cross, excluding reciprocals, was grown in a randomized complete block design (RCBD) with three replications. The results of analysis of variance showed significant differences between the genotypes for grain yield (GY), 100-grain weight (HGW), number of panicles per plant (PN), panicle length (PL), number of full grains per panicle (FGN) and for quality characters including amylose content (AC) and gel consistency (GC). The results of combining ability analysis revealed that general combining ability (GCA) and specific combining ability (SCA) were significant for characters GY, FGN, GC, AC, HGW and PN indicating the involvement of additive and non-additive effects in their inheritance, however high amounts of Bakers ratio remarked that additive gene effect had more portion in controlling these traits. The best combiners for GY, HGW, FGN, PN and PL, were RI18447-2, IR 50, Daylamani, RI18430-46 and Daylamani respectively. For AC and GC, the best combiner was Daylamani. Hayman's graphs showed that regression line passed below the origin cutting Wr axis in the negative region for HGW, PN, PL and GC, indicating the presence of over dominance. Estimates of genetic parameters showed significant amount of H1 and H2, and non-significant amount of D for the characters GY, PN, PL and GC, which confirmed the existence of dominance in the inheritance of these traits.

Combining Ability and Gene Action Analysis for Seed Yield and Component Traits in F2 Generation of Vigna mungo L. Hepper by using Griffing Approach

2020 ◽  
Author(s):  
Amandeep Singh ◽  
R. K. Mittal ◽  
V. K. Sood ◽  
Kulveer Singh Dhillon ◽  
Shailja Sharma
Keyword(s):  
Seed Yield ◽  
Combining Ability ◽  
Gene Action ◽  
Block Design ◽  
Crop Improvement ◽  
Gene Effects ◽  
Early Maturity ◽  
Plant Seed ◽  
Combining Abilities ◽  
Half Diallel

Background: Urdbean (2n=2x=22), also known as blackgram is an important short duration legume crop belonging to family Fabaceae, widely cultivated in Asia. Urdbean occupies an important position among pulses owing to its high seed protein (25-26%), carbohydrates (60%), fat (15%), minerals, amino acids and vitamins. Owing to its low water requirement, it is also suitable for rainfed conditions. It adapts well to various cropping systems owing to its ability to fix atmospheric nitrogen in symbiosis with soil bacteria, rapid growth and early maturity. Half diallel analysis was adopted in present study to gather information on gca (general combining abilities) and sca (specific combining abilities) of 6 diverse parents and simultaneously estimating various types of gene effects involved in the expression of seed yield and related attributes in urdbean. Methods: The F1’s were developed during 2017 in 9 x 9 half diallel fashion by Sharma et al. 2019 and these F1’s were evaluated. Significant crosses on the basis of gene action and combining ability were selected for further advancement. The experimental material comprised of the six parents and 15 F2’s of a 6 x 6 half diallel cross among six cultivars of urdbean (four are purelines viz., Palampur-93, HPBU-111, DU-1 and KU-553 and rest of the two are advanced and indigenous lines viz., Him Mash-1 and IC-281994). The F2’s along with the parental genotypes were grown in a Randomized block Design (RBD) with three replications at Experimental Farm of the Department of Crop Improvement, COA, CSK HPKV Palampur (H.P.) during Kharif, 2018. Results: The cross combination, Him Mash-1× HPBU-111, was identified the best for high seed yield on the basis of sca. The specific crosses, Palampur-93 × IC-281994, Palampur-93 × KU-553 were good specific combiners for most of the traits viz., plant height, branches per plant, pods per plant, biological yield per plant, seed yield per plant, harvest index, 100-seed weight and crude protein content.

scholarly journals Penampilan Karakter Agronomi 16 Genotip Kedelai (Glycine max L. Merrill) pada Pertanaman Tumpangsari dengan Jagung (Zea mays L.) Pola 3:1

Jurnal Agro ◽  
10.15575/436 ◽  
2015 ◽  
Vol 2 (2) ◽  
pp. 30-40
Author(s):  
Acep Atma Wijaya ◽  
Hana D Rahayu ◽  
Adi R. H. Oksifa ◽  
Meddy Rachmadi ◽  
Agung Karuniawan
Keyword(s):  
Leaf Area ◽  
Block Design ◽  
Leaf Angle ◽  
Agricultural Commodity ◽  
Area Index ◽  
Soybean Genotype ◽  
Randomized Block Design ◽  
Best Response ◽  
Soybean Genotypes ◽  
Glycine Max L

Kedelai merupakan komoditas pertanian yang sangat penting di Indonesia. Namun, produksi kedelai nasional belum dapat memenuhi kebutuhan kedelai nasional. Upaya yang dapat dilakukan adalah dengan menerapkan pola tanam tumpangsari kedelai dengan jagung. Penelitian ini bertujuan untuk mencari genotip kedelai yang mampu beradaptasi pada pertanaman tumpangsari dengan jagung pola 3:1 serta menghitung produktivitas penggunaan lahan setiap genotip pada pertanaman tumpangsari dengan jagung pola 3:1. Penelitian ini menggunakan metode eksperimen Rancangan Acak Kelompok (RAK). 16 genotip kedelai digunakan sebagai perlakuan, dan diulang sebanyak dua kali. Untuk melihat respons genotip pada pertanaman tumpangsari dilakukan dengan uji Least Significant Increase (LSI) pada taraf signifikansi 5%. Pendugaan produktivitas lahan pada setiap genotip dihitung berdasarkan nilai Nisbah Kesetaraan Lahan. Hasil penelitian ini menunjukkan genotip kedelai yang memperlihatkan respons paling baik pada pertanaman tumpangsari kedelai jagung dibandingkan kultivar cek untuk tinggi tanaman yaitu genotip BTN 5 dan JT 3, karakter jumlah cabang produktif yaitu genotip BTN 5, karakter luas daun dan indeks luas daun yaitu genotip JT 3, karakter sudut daun yaitu genotip CK 6, karakter bobot per plot yaitu genotip KBI 2, dan Nisbah Kesetaraan Lahan yaitu genotip CK 6 dan KBI 2.Genotip   BTN 1, BTN 2, BTN 5, CK 15, CK 6, JT 3, KA 6, KA 7, KBI 2, KH 8, Cikuray dan Malikka memiliki nilai NKL lebih besar dari 1,0. Soybean is one of important agricultural commodity in Indonesia. However, the national soybean production is not sufficient to meet the needs of national soybean. Effort to do is by applying an intercropping soybean with corn. The objectives of the research was to find soybean genotypes that can adapt to intercropped plantation with corn in pattern of 3 : 1 as well as the productivity of the land use of each genotype in intercropping with maize in 3 : 1 pattern. The research used an experimental method randomized block design (RBD), 16 soybean genotypes as treatments, and repeated twice. To see the response of genotype in intercropping planting was done by using Least Significant Increase (LSI) at the level of significant 5%. Estimation of land productivity on each genotype was calculated with Land Equation Ratio value. The results showed that the best response of soybean genotype compared checks cultivar for plant height were genotype BTN 5 and JT 3, character number of productive branches was genotype BTN 5, the character of leaf area and leaf area index was genotype JT 3 , leaf angle character was genotype CK 6, characters of weights per plot was KBI 2 genotype and Land Equation Ratio value were  CK 6 and KBI 2. Genotypes of BTN 1, BTN 2, BTN 5, CK 15, CK 6, JT 3, KA 6, KA 7, KBI 2, KH 8, Cikuray and Malikka had Land Equivalent Ratio values greater than 1.0.

scholarly journals Evaluation of Biomass Yield and Nutritional Composition of Soybean (Glycine Max (L.)Merrill) Varieties Grown in Low Land Areas of Eastern Amhara, Ethiopia

2020 ◽  
Author(s):  
Abito Asres ◽  
Solomon Tiruneh
Keyword(s):  
Glycine Max ◽  
Seed Yield ◽  
Dry Matter ◽  
Biomass Yield ◽  
Block Design ◽  
Nutritional Composition ◽  
Dry Matter Yield ◽  
Combined Analysis ◽  
Strong Evaluation ◽  
Glycine Max L

The experiment was conducted in three locations Jari, Chefa and Sirinka of Eastern Amhara to select the best performing varieties, in terms of biomass yield, chemical composition, haulm yield, seed yield and other agronomic characteristics of Glycine max (L.) Merrill grown under the rain- fed condition of lowland areas of Eastern Amhara in a randomized complete block design with tree replications. Twelve released soybean varieties were Afgat ,Belesa-95, Boshe , Cheri , Dhidhessa, Gishama , Gizo, Korme, Pawe-03, katta, Wegayen and Wollo were used as a treatments. The seeds were planted in 40 cm between rows and 10 cm between plants on a plot size of 3.2m*4m. Spacing between blocks and plots were 1 and 0.5m, respectively. The seed rate was 60 kg/ha and a fertilizer rate 100 kg/ha NPS was applied during seed planting. The combined analysis of variance over two years at location Jari for dry matter yield of varieties Afgat, Gizo, Pawe-03, Wogayen and Wollo were significantly higher as compared to other soybean varieties. The combined analysis across locations at Jari and Sirinka (2019-second year) showed that varieties Afgat, Gishama, Gizo, Pawe-03, Wogayen and Wollo had higher dry matter yield and varieties Gishama (3.97 t/ha), Gizo (3.60 t/ha), Pawe-03 (4.04 t/ha) and Wogayen (3.36 t/ha) had higher haulm yield as compared with other varieties. The combined analysis across locations at Jari and Sirinka (2019) showed that varieties Pawe-03(2951 kg/ha), Gizo (2862 kg/ha), Afgat (2859 kg/ha), Gishama (2654 kg/ha),Wollo (2461 kg/ha) and Wogayen (2404 kg/ha) had higher seed yield as compared with other varieties. The variety Wollo gave higher crud protein content in two locations (Jari and Sirinka) .Therefore, varieties Afgat, Pawe-03 and Wollo were recommends for the given areas of Jari , Chefa, Sirinka and could be produced in similar environments for the best of produced optimal amount of dry matter, haulm and seed yield and good protein supplement for production of ruminants.Thus, further researches will be needed to investigate on the utilization of livestock.

scholarly journals STUDIES ON HETEROSIS AND COMBINING ABILITY THROUGH DIALLEL METHOD IN MAIZE (ZEA MAYS L.)

2021 ◽  
Vol 21 (No 1) ◽  
Author(s):  
Mahipat Singh Yadav ◽  
B. Gangwar
Keyword(s):  
Zea Mays ◽  
Seed Yield ◽  
Combining Ability ◽  
Yield Components ◽  
Zea Mays L ◽  
Growth Parameters ◽  
Block Design ◽  
Rabi Season ◽  
Yield Attributes ◽  
Randomized Block Design

The present investigation was conducted using 28 different genotypes (seven parents and their 21 F1s) of maize under organic conditions at the Rain-fed Organic Research Farm, Narayanbag, Institute of Agricultural Sciences, Bundelkhand University, Jhansi (U.P.) India, during kharif 2018 and rabi season 2018-19. In order to determine the general and specific combining ability of parents and the crosses, the growth parameters and yield components were evaluated in a 7×7 diallel fashion in maize in a Randomized Block Design (RBD) with three replications. In this study, the GCA effects suggested that parent P1, P2 and P4 were the most desirable as they possessed high GCA effect for most of the characters. Among F1 crosses, P4 x P3, P3 x P1, P5 x P3 and P7 x P5 having significant positive SCA were found to be desirable for yield and yield attributing characters. The maximum heterotic effects in desirable direction for yield attributes were showed by the cross combinations viz; P1 x P6, P2 x P7, P2 x P5, P1 x P2, P3 x P4, P5 x P7 and P3 x P5. The maximum heterosis was recorded in for Seed yield per plant P5 x P7 (39.32%) which ranged from -14.69 to 49.55.

AMMI and GGE biplot analysis of multi environment yield trial of soybeanin North Western Himalayan state Uttarakhand of India

2016 ◽  
Author(s):  
Anuradha Bhartiya ◽  
J. P. Aditya ◽  
Kamendra Singh ◽  
Pushpendra Pushpendra ◽  
J. P. Purwar ◽  
...  
Keyword(s):  
Seed Yield ◽  
Block Design ◽  
Principal Component ◽  
High Yield ◽  
Gge Biplot ◽  
Soybean Genotype ◽  
Genotype By Environment ◽  
Yield Trial ◽  
Soybean Genotypes ◽  
Ideal Genotype

The investigation was carried out to study Genotype × Environment (G×E) interaction for seed yield in 36 soybean genotypes including check PS1092 over 3 diverse environments represented by different altitudes in Uttarakhand. Grain yield performances of soybean genotypes were evaluated during Kharif 2013 season using a randomized complete block design. The AMMI analysis indicated that environment, genotypes and genotype by environment interactions had significantly affected seed yield and accounted for 9.76, 28.97 and 47.55% of the total variation, respectively. GGE biplot clearly displayed interrelationships between test locations as well as genotypes and facilitated visual comparisons based on Principal Component Analysis (PCA). The first two principal components PCI and PCII were used to create a two-dimensional GGE biplot that accounted for 45.68 and 38.88% variations respectively and based on discriminating and representative ability, E2 (Majhera) was most suitable location for selecting generally adapted genotypes. Soybean genotype C1 (PS1539) was identified as ideal genotype with high yield and low G×E interaction i.e. high stability.

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