scholarly journals GENOTYPE BY ENVIRONMENT INTERACTION AND YIELD STABILITY OF SOYBEAN GENOTYPES

2018 ◽  
Vol 19 (1) ◽  
pp. 25
Author(s):  
Ayda Krisnawati ◽  
M. Muchlish Adie
Keyword(s):  
Yield Components ◽  
Block Design ◽  
Sum Of Squares ◽  
Yield Potential ◽  
High Yield ◽  
Environment Interaction ◽  
Yield Data ◽  
Branch Number ◽  
Soybean Production ◽  
Soybean Genotypes

<p class="abstrakinggris">Soybean breeding program in Indonesia has been actively involved in improving the genetic yield potential to meet the needs of farmers in different parts of the country. The study aimed to determine the presence of soybean production mega-environments and to evaluate the yield performance and stability of 12 soybean genotypes. Soybean yield performances were evaluated in eight production centers in Indonesia during 2013 growing season. The experiment in each location was arranged in a randomized complete block design with four replications. Parameters observed included grain yield and yield components. The yield data were analyzed using GGE biplot and the yield components data were analyzed using analysis of variance. The results showed that the yield performances of soybean genotypes were highly influenced by genotype-environment interaction (GEI) effects. The yield components were significantly affected by GEI except per plant branch number. The partitioning of the G + GE sum of squares showed that PC1 and PC2 were significant components which accounted for 57.41% and 18.55% of G + GE sum of squares, respectively. Based on the GGE visual assessment, agro-ecology for soybean production in Indonesia was divided into at least three mega-environments. Genotypes 8 and 2 were the best yielding genotypes in the most discriminating environment, but adapted to specific environment, thus highly recommended for that specific location. Genotypes 9 and 10 were stable and had relatively high yield performances across environments. Those genotypes would be recommended to be proposed as new soybean varieties.</p>

scholarly journals Assessment of Tuber Yield Stability and Adaptability of Some Elite Yam Genotypes in the Guinea Savannah Ecology of Northern Ghana

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Joseph Adjebeng-Danquah ◽  
Kwabena Acheremu ◽  
Emmanuel Boachie Chamba ◽  
Freda Ansaah Agyapong ◽  
Alhassan Sayibu
Keyword(s):  
Yield Components ◽  
Tuber Yield ◽  
Block Design ◽  
Genotypic Variation ◽  
Sum Of Squares ◽  
Yield Stability ◽  
Northern Ghana ◽  
Environment Interaction ◽  
Genotype Effect ◽  
Gxe Interaction

Studies were conducted to determine tuber yield stability and adaptability of some elite yam (Dioscorea sp.) genotypes in northern Ghana. Ten elite exotic yam genotypes alongside one locally cultivated farmer-preferred variety, Laribako, were grown in five environments between 2010 and 2012. These 11 genotypes were arranged in a randomised complete block design with three replications and assessed for tuber yield and yield components. Analysis of variance indicated significant p < 0.05 genotypic variation for tuber yield and the yield components studied. Genotype × environment interaction effect was significant p < 0.05 for tuber yield and mean tuber weight but not significant p > 0.05 for number of tubers per mound. Apart from genotype 95/18922, all the exotic genotypes had significantly p < 0.05 higher tuber yields than the local check, Laribako. The highest tuber yield (16.03 t ha−1) across environments was obtained from 96/19158 followed by 95/00594 (14.9 t ha−1). According to the additive main effect multiplicative interaction (AMMI) analysis, genotype (G), environment (E), and GxE interaction, respectively, explained 39.71%, 36.03%, and 24.26% of the total sum of squares for tuber yield. For number of tubers per plant, GxE effect explained the greatest percentage (60.46%) of the total sum of squares compared to genotype effect (22.00%) and environment effect (17.54%). The local variety, Laribako, was more stable across all environments though low yielding compared to the exotic genotypes. Three genotypes, 95/19158, 95/19177, and 96/02025, were more stable across environments than the other exotic genotypes. Genotype 95/18544 was the most sensitive and for that matter responded positively in the favorable environments. The study identified genotypes with specific and general adaptation potential across different environments for tuber yield that can be further tested in on-farm trials for possible release.

scholarly journals GENOTYPE BY ENVIRONMENT AND STABILITY ANALYSES OF DRYLAND MAIZE HYBRIDS

2020 ◽  
Author(s):  
Achmad Amzeri ◽  
◽  
B.S. DARYONO ◽  
M. SYAFII ◽  
◽  
...  
Keyword(s):  
Grain Yield ◽  
Block Design ◽  
Yield Potential ◽  
High Yield ◽  
Environment Interaction ◽  
Phenotypic Analysis ◽  
Stability Parameters ◽  
Early Maturity ◽  
Maize Hybrids ◽  
The Stability

The phenotypic analysis of new candidate varieties at multiple locations could provide information on the stability of their genotypes. We evaluated the stability of 11 maize hybrid candidates in five districts in East Java Province, Indonesia. Maize hybrids with high yield potential and early maturity traits derived from a diallel cross were planted in a randomized complete block design with two checks (Srikandi Kuning and BISI-2) as a single factor with four replicates. The observed traits were grain yield per hectare and harvest age. The effects of environment, genotype, and genotype × environment interaction on yield were highly significant (P < 0.01). KTM-1, KTM-2, KTM-4, KTM-5, and KTM-6 showed higher average grain yield per hectare than the checks (Srikandi Kuning = 8.49 ton ha−1 and BISI-2 = 7.32 ton ha−1) at five different locations. The average harvest age of 11 candidates was less than 100 days. KTM-4 and KTM-5 had production yields that were higher than the average yield of all genotypes in all environments (Yi > 7.78 tons ha−1) and were considered stable on the basis of three stability parameters, i.e., Finlay–Wilkinson, Eberhart–Russell, and additive main effect multiplicative interaction (AMMI). KTM-2 had the highest yield among all tested genotypes (9.33 ton ha−1) and was considered as stable on the basis of AMMI but not on the basis of Finlay–Wilkinson and Eberhart–Russell. KTM-1 performed well only in Pamekasan, whereas KTM-6 performed well only in Sampang. Thus, these two genotypes could be targeted for these specific locations.

scholarly journals Genotype and environment interaction of drought tolerant rice genotypes evaluated in drought prone areas of Bangladesh

2016 ◽  
Vol 14 (1) ◽  
pp. 23-30
Author(s):  
RR Majumder ◽  
TR Hore ◽  
MA Kader ◽  
TL Aditya
Keyword(s):  
Grain Yield ◽  
Block Design ◽  
Principal Component ◽  
Field Trials ◽  
High Yield ◽  
Environment Interaction ◽  
Growth Duration ◽  
Yield Data ◽  
Wide Range ◽  
Rice Genotypes

Field trials were conducted using ten rice genotypes including four national and international check varieties under drought prone rainfed environments of Rangpur, Nilphamari, Kurigram and Lalmonirhat districts of Bangladesh in Transplant Aman 2012 season to evaluate the growth duration and grain yield stability as well as adaptability. The experiment used randomized complete block design with three replications. Growth duration and Grain yield data were subjected to Additive Main effects and Multiplicative Interaction (AMMI) analysis. The mean growth duration of 10 genotypes over four environments showed that the longest growth duration was found for IR83383-B-B-129-4 (115.6 days) and the lowest growth duration was found for BRRI dhan56 (Ck) (113.4 days). IR82635-B-B-145-1 produced maximum 4.28 t/ha grain yield followed by 4.28 t/ha in IR82589-B-B-84-3 and the lowest grain yield was recorded for IR83376-B-B-130-2 with 3.24 t/ha. It was evident from the AMMI 1 biplot analysis that IR83377-B-B-93- 3, IR83383-B-B-129-4, IR82635-B-B-145-1, IR82635-B-B-75-2 and BRRI dhan56 (Ck) generally exhibited high yield with high main (additive) effects showing positive first principal component of the interaction (IPCA1), but IR82635-B-B-145-1 being the overall best. Hence, IR82635-B-B-145-1 was identified as specially adapted to Lalmonirhat and this environment was considered as the wide range suitable environment for the genotype. Lalmonirhat could be regarded as a good selection site for rice improvement due to stable yields. IR83377-B-B-93-3, IR82635-B-B-145-1, IR83383-B-B-129-4, IRRI 123 (Ck), BRRI dhan57 (Ck) and BINA dhan7 (Ck) were hardly affected by the G × E interaction and would perform well across a wide range of environments. In AMMI 2 biplot, IR82635-B-B-145-1 and IRRI 123 (Ck) was more responsive since they were away from the origin whereas other genotypes were nearer to the origin and hence they were more stable to different environments. IR83383-B-B-129-4 was very close to the origin, so it was more stable to different environments. Similarly Rangpur Sadar and Lalmonirhat showed similar potentiality over IR83383-B-B-129-4. The study it revealed that IR83377-B-B-93-3, IR83383-B-B-129-4, IR82635-B-B-145-1, IR82635-B-B-75-2 and IR82589-B-B-84-3 has the potentiality to show drought tolerance for the regions and might be suitable for releasing as a variety after conducting proper yield evaluation trials and Distinction, Uniformity and Stability (DUS) tests.J. Bangladesh Agril. Univ. 14(1): 23-30, June 2016

scholarly journals AMMI Stability Analysis and Estimation of Genetic Parameters for Growth and Yield Components in Cassava in the Forest and Guinea Savannah Ecologies of Ghana

2017 ◽  
Vol 2017 ◽  
pp. 1-10 ◽  
Author(s):  
Joseph Adjebeng-Danquah ◽  
Joseph Manu-Aduening ◽  
Vernon Edward Gracen ◽  
Isaac Kwadwo Asante ◽  
Samuel Kwame Offei
Keyword(s):  
Block Design ◽  
Sum Of Squares ◽  
Yield Stability ◽  
Growth And Yield ◽  
High Yield ◽  
Phenotypic Variance ◽  
Environment Interaction ◽  
Dry Matter Content ◽  
Root Yield ◽  
Ammi Analysis

Twenty cassava genotypes were arranged in a randomised complete block design with three replications and assessed for growth and yield stability using the additive main effect and multiplicative interaction (AMMI) analysis. Highly significant (P<0.001) effects of genotype, environment, and genotype ⁎ environment interaction were observed for all traits studied. The AMMI analysis of variance indicated that genotype accounted for 51% of the total sum of squares for height at first branching followed by environment (33%) and interaction (15%). For fresh root yield, environment effects accounted for 37% of the total sum of squares, whilst genotype and interaction accounted for 32% and 29%, respectively. Genotypic variances for harvest index (HI), plant height, storage root yield, and dry matter content contributed a greater proportion of the phenotypic variance indicating stronger genetic control. This suggests better chance of progress in the genetic improvement of these traits. Genotype MM96/1751 combined high yield with stability according to the yield stability index ranking across environments. On the other hand genotypes UCC 2001/449 and 96/1708 though high yielding were unstable according to AMMI stability value scores. However they can be tested further in more environments to ascertain their specific adaptability for release to farmers for cultivation to boost cassava production and ensure food security.

scholarly journals Potentiality of Some Egyptan Cotton Varieties under Drought Stress Conditions

2019 ◽  
pp. 1-7
Author(s):  
M. D. H. Dewdar
Keyword(s):  
Water Stress ◽  
Drought Stress ◽  
Yield Components ◽  
Block Design ◽  
Stress Conditions ◽  
Yield Potential ◽  
High Yield ◽  
Stress Treatment ◽  
Irrigation Regimes ◽  
Yield And Yield Components

This study aimed to investigate the performance of three cotton (Gossypium barbadense L.) genotypes as affected by drought stress at three irrigation regimes; 14 (S-0), 21(S-1) and 28 (S-2) days that were started after the first irrigation. To achieve this goal, a field experiment was conducted as split block design at the Experimental Farm of the Faculty of Agriculture, El-Fayoum Univ. The results indicated that the irrigation regimes mean squares of combined data were highly significant for earliness traits, also as well as yield and yield components.  Most of fiber properties were not affected by water stress conditions. Significant differences were found among the non- stress (S-0) and the stress treatments (S-1 and S-2) for mean performances of the three earliness traits. Treatment S-2 led to significant decrease in yield and yield components compared to S-0. The results showed that Giza 85 variety gave the highest fiber length, fiber strength and was finer cultivars having the lower micronaire values. The interaction between genotypes and stress treatments was significant for most traits.G1,G2 and G3 cotton varieties  exhibited highest seed cotton yield kg ha-1 (yield potential) in the non- stress treatment (S-0).  Giza 90 variety outyielded the other two varieties under stress treatment (S-2) compared to those of Giza 85 and Giza 83. The superiority of Giza 90 variety could be attributed to its high yield components., while Giza 90 was relatively stress susceptible and similar trend of those obtained using data of relative productivity (%) which confirm that the genotype Giza 83 and Giza 85 are more drought tolerance and could be used as sources of drought stress tolerance in breeding programs and tolerance to water stress conditions.

scholarly journals Genotype by environment interaction for seed yield per plant in rapeseed using AMMI model

2011 ◽  
Vol 46 (2) ◽  
pp. 174-181 ◽  
Author(s):  
Ana Marjanović-Jeromela ◽  
Nevena Nagl ◽  
Jelica Gvozdanović-Varga ◽  
Nikola Hristov ◽  
Ankica Kondić-Špika ◽  
...  
Keyword(s):  
Seed Yield ◽  
Block Design ◽  
Total Yield ◽  
Interaction Model ◽  
Field Trials ◽  
Genotype By Environment Interaction ◽  
Yield Potential ◽  
High Yield ◽  
Environment Interaction ◽  
Genotype By Environment

The objective of this study was to assess genotype by environment interaction for seed yield per plant in rapeseed cultivars grown in Northern Serbia by the AMMI (additive main effects and multiplicative interaction) model. The study comprised 19 rapeseed genotypes, analyzed in seven years through field trials arranged in a randomized complete block design, with three replicates. Seed yield per plant of the tested cultivars varied from 1.82 to 19.47 g throughout the seven seasons, with an average of 7.41 g. In the variance analysis, 72.49% of the total yield variation was explained by environment, 7.71% by differences between genotypes, and 19.09% by genotype by environment interaction. On the biplot, cultivars with high yield genetic potential had positive correlation with the seasons with optimal growing conditions, while the cultivars with lower yield potential were correlated to the years with unfavorable conditions. Seed yield per plant is highly influenced by environmental factors, which indicates the adaptability of specific genotypes to specific seasons.

scholarly journals Characterization of 56 Soybean Accessions on Yield Components and Maturity-related Traits

2016 ◽  
Vol 21 (1) ◽  
pp. 25
Author(s):  
I Made Tasma ◽  
Puji Lestari ◽  
NFN Reflinur
Keyword(s):  
Cluster Analysis ◽  
Seed Yield ◽  
Yield Components ◽  
Block Design ◽  
Yield Potential ◽  
High Yield ◽  
Early Maturity ◽  
Soybean Genotype ◽  
Pod Number ◽  
High Yield Potential

<p>Peningkatan produktivitas kedelai nasional dapat dilakukan dengan penggunaan varietas produktivitas tinggi dan manipulasi indeks panen menggunakan varietas genjah. Pembentukan varietas di atas memerlukan plasma nutfah dengan potensi hasil tinggi dan berumur genjah. Tujuan dari penelitian ini adalah untuk mengidentifikasi aksesi kedelai yang mempunyai potensi hasil tinggi dan aksesi kedelai berumur genjah. Sebanyak 56 aksesi kedelai terdiri atas varietas elit dan introduksi, aksesi lokal dan galur-galur persilangan ditanam di Kebun Percobaan Cikeumeuh (250 m dpl) dan Pacet (1.200 m dpl) menggunakan Rancangan Acak Kelompok dengan tiga ulangan. Pengamatan dilakukan terhadap karakter morfologi, komponen hasil dan karakter reproduktif yang meliputi umur berbunga (fase R1, R3, R7, dan R8). Hasil penelitian menunjukkan 28 aksesi (50%) diuji di Cikeumeuh dan 43 aksesi (76,79%) diuji di Pacet menunjukkan jumlah polong/tanaman lebih dari 50. Sekitar 35,71% aksesi di Cikeumeuh dan 41,07% aksesi di Pacet menghasilkan biji/tanaman lebih dari 10 g/tanaman. Aksesi kedelai yang menunjukkan komponen hasil tinggi hanya di KP Cikeumeuh adalah B2981, B3517, dan B3628. Aksesi kedelai yang menunjukkan komponen hasil tinggi hanya di KP Pacet adalah B4441, B3628, B382, B4334, dan B3414. Aksesi yang menunjukkan komponen hasil tinggi di kedua lokasi (Cikeumeuh dan Pacet) adalah B3417. Aksesi B3417 diklasifikasikan sebagai aksesi dengan adaptasi luas karena berkeragaan komponen hasil tinggi di dataran rendah dan di dataran tinggi. Aksesi dengan umur panen genjah ditunjukkan oleh B2973 (74 hari setelah tanam, hst) yang tidak berbeda nyata dengan aksesi B1430 (75 hst), B3611 (76 hst), B4433 (77 hst), dan B4439 (80 hst) berdasarkan uji DMRT (p&lt;0,05). Berdasarkan karakter morfologi, sebagian besar plasma nutfah kedelai terbagi dalam tiga kelompok termasuk landraces tanpa mempertimbangkan asal daerahnya. Analisis klaster berdasarkan karakter agronomi mendukung analisis DMRT bahwa aksesi kedelai dengan hasil biji tinggi dan umur genjah dapat dibedakan. Aksesi kedelai dengan jumlah polong banyak, hasil biji tinggi, umur genjah potensial digunakan dalam program pemuliaan kedelai produktivitas tinggi dengan umur genjah.</p><p> </p><p><strong>Abstrak</strong></p><p>One effort to improve soybean production in Indonesia is by using high yielding and manipulating harvest index by using early maturing varieties. Such variety development requires the availability of soybean germplasm with high yield potential and early maturity. The objective of this study was to identify soybean genotypes showing high yield potential and early maturity. A total of 56 soybean accessions consisting of elite and introducing varieties, landraces, and breeding lines were characterized in the field with different altitudes i.e. Cikeumeuh (250 m above sea level) and Pacet (1.200 m asl). The experiments were arranged in a randomized block design using three replications. Characters observed were morphological chracters, yield components and maturity-related traits (days to R1, R3, R7, and R8). Results showed that 28 accessions (50%) tested at Cikeumeuh and 43 accessions (76.79%) tested at Pacet demonstrated pod number/plant more than 50. About 35.71% at Cikeumeuh and 41.07% at Pacet showed seed yield more than 10 g/plant. Soybean accessions demonstrating high yield components only at Cikeumeuh were B2981, B3517, and B3628. Soybean accessions demonstrating high yield components only at Pacet were B4441, B3628, B382, B4334, and B3414. The accession demonstrating high yield component performance at both locations (Cikeumeuh and Pacet) was shown by B3417. Accession B3417 is then classified as a broad adaptating soybean genotype. The early pod maturing accession was demonstrated by B2973 (74 dap) that was not significantly different from accessions B1430 (75 dap), B3611 (76 dap), B4433 (77 dap), and B4439 (80 dap) based on DMRT at p = 0.05. Three distinct clades were generated based on morpho-agronomical variables on both locations (Cikeumeuh dan Pacet). Cluster analysis of agronomical characters was able to distinguish accessions with high yield components in either one or both locations (B3417, B3628, and B2981), and accessions with early maturiy and least pod number (B4439 and B4433). Cluster analysis results were in well-agreement with the results based on DMRT. Soybean accessions having high pod number, high seed yield and early in maturity are potentially used for developing high yielding soybean varieties with early in maturity.</p>

scholarly journals Agronomic Characters Plant and Potential of Strain Rice (Oryza Sativa L.) Which Formed in The Three Generations (F3)

2017 ◽  
Vol 17 (1) ◽  
Author(s):  
Jamaludin Adimiharja ◽  
Jaenudin Kartahadimaja ◽  
Eka Erlinda Syuriani
Keyword(s):  
Yield Components ◽  
Growth Parameters ◽  
Oryza Sativa L ◽  
Block Design ◽  
Yield Potential ◽  
High Yield ◽  
Agronomic Characters ◽  
Agronomic Character ◽  
Randomized Block Design ◽  
High Yielding Varieties

The formation of high-yielding varieties are required to have the advantage of being more diverse and more specific, according to the agro-ecosystem. Assembling new rice strains that have high yield and adaptive in different agro-ecosystem is a solution that should be done. The research objective was to determine the appearance of agronomic characters and yield potential of 11 new rice lines in the 3rd generation (F3). The study was conducted in paddy fields belonging Polinela, in January to May 2015. The study using randomized block design (RBD), as the treatment is 11 new rice lines repeated three times. The variables measured were the growth parameters and yield components. Data were analyzed by analysis of variance, if there is a difference between the treatment, the test is done with the Advanced Test Honestly Different (HSD) 5%. Based on the research that has been done toeleven new rice lines have different agronomic characters and has the lowest yield potential ton.ha 6.7-1, and the highest 10.4 ton.ha-1.Keywords: agronomic character, yield potential, new rice lines

Evaluation of Agronomic Traits of Sponge Gourd (Luffa cylindrica) Inbred Lines Under Plastic House in Thua Thien Hue

2017 ◽  
Vol 126 (3E) ◽  
Author(s):  
Trương Thị Hồng Hải ◽  
Nguyễn Thị Diệu Thể ◽  
Phan Thu Thảo
Keyword(s):  
Skin Color ◽  
Agronomic Traits ◽  
Block Design ◽  
Leaf Traits ◽  
Pure Line ◽  
Inbred Lines ◽  
Fruit Shape ◽  
Yield Potential ◽  
High Yield ◽  
Sponge Gourd

In order to establish the pure line of sponge gourd containing aroma feature, we selected the desirable inbred lines by using a self-pollinating method. The present study was investigated to estimate the morphological traits and fruit quality of 6 sponge gourd inbred lines which generated at 4th generation of an aroma Luffa accession B29 under plastic house conditions. The experiment was conducted in a randomized complete block design (RCBD) with three replications, from May to November in 2016. Five plants per replication were examined. The results indicated that all inbred lines could grow well under plastic house conditions. The inbred lines had the same stem and leaf traits; whereas fruit shape, skin color and fruit veins color were observed differently among inbred lines. The aromatic trait was retained in all inbred lines either before or after cooking. The high yield was found in lines BC1 and BC2 by 10.1 tons/ha and 10.7 tons/ha, respectively. These inbred lines should be examined in open field condition to confirm the presence of aromatic trait and yield potential before completion of the procedures for recognition of new Luffa varieties.  

scholarly journals Responses of Branch Number and Yield Component of Soybean Cultivars Tested in Different Planting Densities

Agriculture ◽  
2021 ◽  
Vol 11 (1) ◽  
pp. 69
Author(s):  
Cailong Xu ◽  
Ruidong Li ◽  
Wenwen Song ◽  
Tingting Wu ◽  
Shi Sun ◽  
...  
Keyword(s):  
Key Management ◽  
Management Practices ◽  
Yield Component ◽  
Planting Density ◽  
Yield Potential ◽  
High Yield ◽  
Branch Number ◽  
Soybean Yield ◽  
Soybean Cultivars ◽  
Pod Number

Increasing planting density is one of the key management practices to enhance soybean yield. A 2-yr field experiment was conducted in 2018 and 2019 including six planting densities and two soybean cultivars to determine the effects of planting density on branch number and yield, and analyze the contribution of branches to yield. The yield of ZZXA12938 was 4389 kg ha−1, which was significantly higher than that of ZH13 (+22.4%). In combination with planting year and cultivar, the soybean yield increased significantly by 16.2%, 31.4%, 41.4%, and 46.7% for every increase in density of 45,000 plants ha−1. Yield will not increase when planting density exceeds 315,000 plants ha−1. A correlation analysis showed that pod number per plant increased with the increased branch number, while pod number per unit area decreased; thus, soybean yield decreased. With the increase of branch number, the branch contribution to yield increased first, and then plateaued. ZH13 could produce a high yield under a lower planting density due to more branches, while ZZXA12938 had a higher yield potential under a higher planting density due to the smaller branch number and higher tolerance to close planting. Therefore, seed yield can be increased by selecting cultivars with a little branching capacity under moderately close planting.

Sign in / Sign up

Export Citation Format

Share Document