GGE Biplot Analysis for Combining Ability of Grain Yield and Early Maturity in Maize Mutant in Indonesia

2015 ◽  
Vol 7 (3) ◽  
pp. 160-173 ◽  
Author(s):  
D. Ruswandi ◽  
J. Supriatna ◽  
B. Waluyo ◽  
A.T. Makkulawu ◽  
E. Suryadi ◽  
...  
Keyword(s):  
Grain Yield ◽  
Combining Ability ◽  
Gge Biplot ◽  
Early Maturity ◽  
Biplot Analysis

ASSESSING THE COMBINING ABILITY OF RICE GENOTYPES IN F1 GENERATION USING COMPLETE DIALLEL CROSS

2021 ◽  
Vol 36 (2) ◽  
pp. 135-140
Author(s):  
I. A. Odhano ◽  
H. B. Bozdar ◽  
M. A. Sial
Keyword(s):  
Grain Yield ◽  
Short Stature ◽  
Combining Ability ◽  
Panicle Length ◽  
Negative Effects ◽  
Cross Combination ◽  
Rice Varieties ◽  
Early Maturity ◽  
Positive Effects ◽  
Days To Heading

A complete diallel analysis was carried out to determine combining ability of Shandar, NIA-Mehran, NIA-19/A, KS-282 and Shua-92 rice varieties in F1 during 2017. The objective of the study was to identify potential recombinants for future rice breeding program. The research was conducted at Nuclear Institute of Agriculture, Tandojam. Genotypic mean squares were significant (P ?0.01) for all of the traits i.e.; days to heading, days to maturity, plant height, number of tillers plant-1, panicle length, grains panicle-1 and grain yield plant-1 indicating genetic variation. Importance of both additive and non-additive gene action was found with preponderance of additive genetic effects in expression of traits studied. Showing negative GCA effects, NIA-Mehran, NIA-19/A and Shua-92 proved better parent varieties for developing early maturity. While, NIA-Mehran, KS-282 and Shua-92 for developing short stature genotypes. While, Shandar remained the best combiner for yield and yield associated traits with higher positive GCA effects. Cross combination of Shandar × KS-282 was the best with higher negative effects for days to heading and maturity and higher positive effects for grain yield plant-1. NIA-Mehran × Shua-92 gave the highest negative SCA effects indicating best combination for short stature. In case of number of tillers plant-1 and grains panicle-1, the cross NIA-19/A × KS-282 was the better combination with the highest positive SCA effects. Shandar × NIA-Mehran manifested the highest value for panicle length. Findings of reciprocal SCA  revealed that the reciprocal cross combination of Shua-92 × Shandar was fruitful illustrating negative effects for days to heading and maturity. While, KS-282 × NIA-Mehran was the best reciprocal combination for yield and yield associated traits. It is concluded that rice varieties Shandar and NIA-Mehran could be used to improve yield contributing traits in rice, while, NIA-Mehran and KS-282 may be used to improve early maturity and short stature in rice crop.

scholarly journals Multienvironment Evaluation of Tannin-Free Photoperiod-Insensitive Sorghum (Sorghum bicolor (L) Moench) for Yield and Resistance to Grain Mold in Senegal

2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Cyril Diatta ◽  
Mame P. Sarr ◽  
Thierry Klanvi Tovignan ◽  
Ousmane Aidara ◽  
Daniel Kwadjo Dzidzienyo ◽  
...  
Keyword(s):  
Grain Yield ◽  
Gge Biplot ◽  
Rating Score ◽  
Biplot Analysis ◽  
Stability Performance ◽  
Major Interest ◽  
Grain Mold ◽  
Mold Resistance ◽  
Disease Pressure ◽  
Sorghum Bicolor L

Combining resistance to grain mold with high grain yield in tannin-free white-grained photoperiod-insensitive sorghum is of major interest for farmers in Senegal. In this study, GGE biplot analysis was used to assess the performance, adaptability, and stability of eleven sorghum parental lines and their hybrid combinations for yield and grain mold resistance under Senegalese environments. Eleven inbred lines along with their 22 hybrid combinations and one check were evaluated across three sites during the 2015 and 2016 rainy seasons under natural grain mold infestation. The results of this study showed strong genetic variability among studied genotypes for all measured traits. The highly significant G × E interaction effects for grain yield and panicle grain mold rating score (PGMR) indicated that both traits are influenced by genetics and to some extent by environment. Broad-sense heritability computed was high for all these traits except PGMR, showing a high environmental pressure on this later. The study showed that grain mold pressure in the studied sites decreased following a South-North gradient similar to the rainfall pattern, with the south region wetter, explaining the high disease pressure in Darou and Sinthiou Maleme contrary to Bambey. The GGE biplot analysis performed showed that the first two principal components explained 85.84% of the total variation of GGE sum of squares for grain yield. The which-won-where view of the GGE biplot for grain yield showed that the hybrid HB16 was the most adapted for Bambey area. The ranking of genotypes based on both yield performance and stability showed that HB16, HB5, HB21, HB18, and HB7 were the best hybrids combining high grain yield, high stability performance, and tolerance to grain mold disease across the test environments. These hybrids outperformed the best yielding inbred line P29 (2196.7 kg ha−1) with grain yield advantages ranging 17–60%. Therefore, these hybrids could be recommended to farmers in order to improve sorghum yield in Senegal.

Grain yield stability of barley genotypes in uniform regional yield trails in warm and semi warm dry land area

2017 ◽  
Author(s):  
Hassan Khanzadeh ◽  
Behroz Vaezi ◽  
Rahmatolah Mohammadi ◽  
Asghar Mehraban1 ◽  
Tahmaseb Hosseinpor ◽  
...  
Keyword(s):  
Grain Yield ◽  
Agricultural Research ◽  
Gge Biplot ◽  
Ge Interaction ◽  
Dry Land ◽  
Biplot Analysis ◽  
Ammi Model ◽  
Cropping Seasons ◽  
Ideal Genotype ◽  
Better Than

The aim of this study was to assess the effect of GEI on grain yield of barley advanced lines and exploit the positive GEI effect using AMMI and SREG GGE biplot analysis. Therefore, 18 lines were evaluated at five research stations (Ghachsaran, Mogan, Lorestan, Gonbad and Ilam) of Dryland Agricultural Research Institute (DARI), in the semi-warm regions in Iran, in 2012, 2013 and 2014 cropping seasons under rain-fed conditions. Analysis of variance showed that grain yield variation due to the environments, genotypes and GE interaction were highly significant (p>0.01), which accounted for 68.9%, 9.3% and 22.7% of the treatment combination sum of squares, respectively. To determine the effects of GEI on yields, the data were subjected to AMMI and GGE biplot analysis. The first five AMMI model terms were highly significant (p>0.01) and the first two terms explained 59.56% of the GEI. There were two mega-environments according to the SREG GGE model. The best genotype in one location was not always the best in other test locations. According to AMMI1 biplot, G2, G4, G5 and G6 were better than all other genotypes across environments. G2 was the ideal genotype to plant in Gachsaran. It seems that Ghachsaran is the stable environment between the environments studied and next in rank was Gonbad. In finally, the ATC method indicated that G1, G3, G4 and G6 were more stable as well as high yielding.

Study on heterosis and combining ability through diallel mating analysis in F1 generation of Bread Wheat (Triticum aestivum L.)

2018 ◽  
Vol 3 (01) ◽  
pp. 34-43
Author(s):  
Vivek Kumar Singh ◽  
Bijendra Kumar ◽  
Lokendra Singh ◽  
Sourabh Panwar ◽  
Sandeep Kaur ◽  
...  
Keyword(s):  
Grain Yield ◽  
Combining Ability ◽  
Crop Improvement ◽  
Diallel Analysis ◽  
Triticum Aestivum L ◽  
Flowering Plant ◽  
Early Maturity ◽  
Days To Maturity ◽  
Economic Botanist ◽  
Half Diallel

Estimation of combining ability by half diallel analysis and magnitude of heterosis was conducted at Section of Rabi Cereals, C. S. A. University of Agriculture Science and Technology, Kanpur, UP, in a set of 10 parents received from Economic Botanist Region, Section of Rabi Cereals, Kanpur by making 45 cross combinations evaluated during winter and Rabi 2012-13 in RBD with three replications. The data on nine characters viz. days to 50 % flowering, Plant height, No. of tillers/plant, Spike length/plant, No. of grains/main spike, Days to maturity, 1000-grain weight and Grain yield/plant were utilized for present study. On the basis of GCA effects across eight charactersK9423 and K9533 (-0.76) are good and desirable for days to 75% flowering for crop improvement, grain yield per plant observed for PBW502 and PBW343. The most promising crosses showing significantly positive SCA effects for yield per plant K9423xHD2285and PBW502xPBW343, days to maturity is showing significantly negative SCA effect for NW2036xHD2285 (-9.68). Heterosis is estimated highest over better parent for yield per plant was HD2285xK9533 (16.15). These crosses should be exploited for further advancement in breeding programme for HYVs and early maturity, simultaneously.

scholarly journals Identification of stable genotypes and genotype by environment interaction for grain yield in sorghum (Sorghum bicolor L. Moench)

2018 ◽  
Vol 17 (1) ◽  
pp. 81-86 ◽  
Author(s):  
Massaoudou Hamidou ◽  
Oumarou Souleymane ◽  
Malick N. Ba ◽  
Eric Yirenkyi Danquah ◽  
Issoufou Kapran ◽  
...  
Keyword(s):  
Grain Yield ◽  
Genotype By Environment Interaction ◽  
Planting Date ◽  
Environment Interaction ◽  
Gge Biplot ◽  
Food Crop ◽  
Planting Dates ◽  
Genotype By Environment ◽  
Biplot Analysis ◽  
Sorghum Bicolor L

AbstractSorghum is a staple food crop in Niger and its production is constrained by sorghum midge and the use of low yielding, local sorghum varieties. To improve sorghum productivity, it is crucial to provide farmers with high yielding sorghum cultivars that are resistant to midge. We evaluated 282 genotypes in four environments of Niger Republic. Alpha (0.1) lattice with two replications was the experimental design. Genotype and genotype by environment (GGE) biplot analysis was used to study grain yield (GY) stability and G × E interactions. The results revealed that two distinct mega environments were present. Genotype L232 was the best genotype for GY in the first planting date at Konni and the first and second planting dates (PDs) at Maradi. Genotype L17 was the best for GY in the second PD at Konni. The second PD at Konni was the most discriminating environment while the first PD at Konni is suitable for selecting widely adapted genotypes for GY.

Use of gross income as a measure of productivity in rice breeding

2008 ◽  
Vol 88 (5) ◽  
pp. 1015-1022 ◽  
Author(s):  
S. O. PB. Samonte ◽  
L. T. Wilson ◽  
R. E. Tabien ◽  
A. M. McClung
Keyword(s):  
Grain Yield ◽  
Selection Criterion ◽  
Gge Biplot ◽  
Milled Rice ◽  
Market Prices ◽  
Biplot Analysis ◽  
Main Crop ◽  
Rice Genotypes ◽  
Gross Income ◽  
Key Words Rice

Rice breeders consider grain yield and milled rice percentages in developing cultivars, but usually do not consider gross income. This study’s objectives were to identify rice genotypes that produced high and stable expected gross incomes using genotype plus genotype × environment (GGE) biplot analysis. Uniform Regional Rice Nursery data on 47 long-grain genotypes grown at five locations (AR, LA, MO, MS, and TX) during 2001 to 2003 were analyzed. Gross income of each genotype was estimated based on grain yield, milled rice percentages, market prices, and direct and counter-cyclical payments. Based on GGE biplot analysis, the genotypes with the highest yield and highest gross income for the main crop were different in 12 out of 13 environments. RU0103184, Francis, and RU0003178 were the genotypes with the highest gross income in six, four, and three environments, respectively. Rice breeders should consider gross income as a selection criterion in the release of new cultivars. Key words: Rice, GGE, GE, breeding, gross income

scholarly journals Diallel Analysis and Heritability of Grain Yield, Yield Components, and Maturity Traits in Cowpea (Vigna unguiculata (L.) Walp.)

2020 ◽  
Vol 2020 ◽  
pp. 1-9
Author(s):  
Emmanuel Yaw Owusu ◽  
Haruna Mohammed ◽  
Kulai Amadu Manigben ◽  
Joseph Adjebeng-Danquah ◽  
Francis Kusi ◽  
...  
Keyword(s):  
Grain Yield ◽  
Combining Ability ◽  
Yield Components ◽  
Agricultural Research ◽  
Diallel Analysis ◽  
Diallel Cross ◽  
Early Maturity ◽  
Yield Attributes ◽  
Cowpea Varieties ◽  
Pedigree Selection

Information on combining ability and reciprocal effects (REC) facilitates efficient utilization of genetic materials in a breeding program. This study was conducted (at the CSIR-Savanna Agricultural Research Institute, Ghana) to determine general combining ability (GCA) and specific combining ability (SCA), heritability, genetic advance, GCA, and SCA effects as well as the relationship between parents per se performance and progenies for yield components and maturity traits in cowpea. The test populations were derived using a 5 × 5 complete diallel cross of parents with different yield attributes and maturity durations. The results indicated that GCA was predominant for number of days to 90% pod maturity, plant height at maturity, and hundred-seed weight. This showed that genes with additive effects conditioned these traits. Padi-Tuya, Songotra, and IT86D-610 were identified as good general combiners for grain yield, while Sanzi-Nya was identified as a general combiner for developing extra-early duration cowpea varieties. Crosses Songotra × Sanzi-Nya, SARC-1-57-2 × IT86D-610, Songotra × SARC-1-57-2, and Padi-Tuya × Songotra were identified as good specific combiners for days to 50% flowering, pod length, pods per plant, pod yield, grain yield, and seeds per pod. The findings from this study provide useful information on the inheritance of early maturity and yield traits in cowpea. This can be exploited to develop high yielding and early maturing cowpea varieties as climate smart strategy to mitigate climate change via breeding methods such as pedigree selection and marker assisted backcrossing (MABC). Pedigree selection method is being used to develop varieties from the hybrid with high and significant SCA for grain yield, whereas the development of extra-early duration varieties via MABC with Sanzi-Nya (general combiner for earliness traits) as a donor parent is ongoing.

scholarly journals Using of GGE biplot in determination of genetic structure and heterotic groups in wheat (Triticum aestivum L.)

2021 ◽  
Vol 65 (1) ◽  
pp. 17-27
Author(s):  
Ensieh Es'haghi Shamsabadi ◽  
Hossein Sabouri ◽  
Habibollah Soughi ◽  
Seyed Javad Sajadi ◽  
Ahmad Reza Dadras
Keyword(s):  
Grain Yield ◽  
Bread Wheat ◽  
Combining Ability ◽  
Grain Weight ◽  
Environment Interaction ◽  
Gge Biplot ◽  
Heterotic Groups ◽  
Plant Seed ◽  
Genotype Environment Interaction ◽  
Grain Number Per Spike

The present study was undertaken to analyze diallel data using GGE biplot model to gather information about genetic interrelationships among parents and identification of heterotic combinations for yield and yield components in bread wheat varieties. For this purpose, 8 bread wheat genotypes tested across in half-diallel crosses design, GGE biplot technique was used. Parents included the genotypes of Kouhdasht, Karim, Ehsan, Mehregan, N-92-9, Line 17, N80-19 and Atrak. The hybrids obtained from the one-way cross (28 hybrids) in agricultural years of 2016-17 were evaluated as randomized complete block design in two replications on the research farm of Gonbad Kavous University. The evaluated traits included the grain yield, weight of spike grains, number of grains in spike and number of spikes. Additive main effects and genotype × environment interaction (GGE) were employed in the evaluation of genotypes; analyses showed significant (P< 0.01) G × E, (genotype × environment interaction) with respect to plant seed yield. GGE biplot analysis showed that Karim was as the best general combiners for grain yield, number grain per spike and grain weight per spike, whereas Ehsan had the highest GCA effects for number of spikes. Ehsan and Karim had higher specific combining ability than other genotypes. The studied genotypes for this trait were divided into two heterotic groups where the first group included the genotypes of Kouhdasht, N-92-9, N80-19 and Atrak and the second group contained the genotypes of Line 17, Mehregan and Karim. Mehregan line had a weak combining ability with all testers and N-92-9 had also more power than others. Based on the biplot, the Karim genotype with high general adaptation was introduced as the ideal genotype in terms of grain yield, spike number, grain number per spike and grain weight, so the Karim genotype can be adapted to obtain high yield hybrids.

scholarly journals Iodent Germplasm Source Material Selection in Development of Maize Hybrids for the Steppe Zone of Ukraine

2020 ◽  
Vol 10 (1) ◽  
pp. 76-84
Author(s):  
B. V. Dziubetskyi ◽  
V. Yu. Cherchel ◽  
O. V. Abelmasov ◽  
V. V. Semenova ◽  
M. M. Tagantsova
Keyword(s):  
Grain Yield ◽  
Inbred Line ◽  
Combining Ability ◽  
Material Selection ◽  
Steppe Zone ◽  
Inbred Lines ◽  
Genetic Distances ◽  
Source Material ◽  
Breeding Cycle ◽  
Early Maturity

The aim of the study: Evaluation of sister hybrids obtained on the basis of early maturity Iodent germplasm inbred lines (FAO 180-250) as a source material for the development of new inbred lines and evaluation of this material’s main breeding qualities as well as of level of hypothetical heterosis in sister crosses and their polymorphism as an integral part of the breeding cycle. Methods: Field method, mathematical-statistical method. Results: The studies investigated sister hybrids obtained by crossing of 8 precocious Iodent germplasm inbred lines, their combining ability for “grain yield” trait and determined whether they can be used as a source material for the synthesis of new homozygous inbred lines. The results of the evaluation of sister hybrids and their testcrosses on the basic economically valuable traits are presented. According to research results in 2013-2015, it was found that sister hybrids with the least variable grain yields by years of research were obtained from the crossing of DK1274 and DK237 inbred lines. The calculations of the correlation coefficients between hypothetical heterosis and genetic distances revealed no significant correlation between them (r=0.118-0.359) as well as between the yield of sister hybrids and genetic distances (r=0.167-0.351). It was found that the least variable indicators of grain yield for the years of research were noted in sister hybrids obtained on the basis of source inbred lines with the most stable manifestation of this indicator (r=0.714). Sister hybrids were noted, which had effects of general combining ability at class 2, regardless of study conditions (DK216 × DK213, DK237 × DK1274, DK714/195 × DK216), indicating the stability of genotype response to growing conditions. Conclusion: The evaluation of 8 precocious constant Iodent germplasm inbred lines on breeding traits revealed the best of them (DK555 and DK1274) in combining ability compared to the DK744 control inbred line. Significant influence of the conditions of research years on all the traits studied was noted. The study of sister hybrids has revealed forms with a significant manifestation of hypothetical heterosis. It was the highest on average in crosses of inbred lines DK234 (137.0%), DK714/195 (122.7%) and DK216 (101.1%), and the smallest in hybrids with inbred lines DK555 (58.5%), DK1274 (65.8%) and DK744 (75.0%). Sister combinations with DK1274 and DK237 inbred lines were characterized by the highest yield stability over the years of study. In determining genetic distances, the most genetically similar inbred lines DK744 (0.136) and DK234 (0.197) to inbred line 207 (P165), which is the classic representative of the Iodent germplasm, are noted.

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