Selection Index in the Study of Adaptability and Stability in Maize

Oliveira, Rogério Lunezzo de; Pinho, Renzo Garcia Von; Ferreira, Daniel Furtado; Pires, Luíz Paulo Miranda; Melo, Wagner Mateus Costa

doi:10.1155/2014/360570

Cited by 14 publications

(7 citation statements)

References 15 publications

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“…Generally, all genotypes were located far from the biplot origin and contribute to the G×E interaction for yield. AMMI analysis is widely used for the evaluation of maize hybrids yield in multienvironment field trials [20,24,25,[41][42][43], and grain yield of wheat varieties [22,36,[44][45][46], seed yield of oilseed rape [23], nutritional composition of sweet potato [38], yield of sugarcane [47] and yield of chickpea [48]. As for the protein content, according to the ANOVA, genotypes (G), environments (E) and their interaction (GxE) gave statistically significant values (p < 0.001).…”

Section: Ge Interaction For Yield Protein and Fiber Contentmentioning

confidence: 99%

Genotype × Environment Interaction of Yield and Grain Quality Traits of Maize Hybrids in Greece

Katsenios¹,

Sparangis²,

Chanioti

et al. 2021

Agronomy

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The interaction of genotype by the environment is very common in multi-environment trials of maize hybrids. This study evaluates the quantity and the quality of grain production and the stability of four maize genotypes in a field experiment that was conducted in five different locations for two years. In order to make a reliable evaluation of the performance of genotypes in the environments, principal components analysis (PCA) was used to investigate the correlation of the yield, soil properties and quality characteristics, while the additive main effects and multiplicative interaction (AMMI) analysis detected the narrow adaptations of genotypes at specific mega-environments. For the yield, AMMI analysis indicated that a group of five environments (ENV1, ENV8, ENV6 ENV10 and ENV9) gave higher yields than the mean value and at the same time had low first interaction principal components axis (IPC1) scores, indicating small interactions. Regarding protein and fiber contents, ENV1 and ENV2, gave the highest values and this could be attributed to the high concentration rates of nutrients like Mg, Ca and the soil texture (C). Specifically for the protein, the results of the analysis indicated that certain environment would provide more protein content, so in order to obtain higher grain protein, growers should grow in certain locations in order to improve the content of this quality characteristic, certain genotypes should be used in certain environments.

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Section: Ge Interaction For Yield Protein and Fiber Contentmentioning

confidence: 99%

Genotype × Environment Interaction of Yield and Grain Quality Traits of Maize Hybrids in Greece

Katsenios¹,

Sparangis²,

Chanioti

et al. 2021

Agronomy

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“…Produksi per hektar dan umur panen merupakan parameter yang memiliki nilai ekonomis tinggi. Pemberian bobot didasarkan pada tujuan utama seleksi dan nilai ekonomis masing-masing karakter (Lunezzo de Oliveira et al, 2014). Menurut Jannah et al (2018), karakter umur berbunga mempunyai korelasi positif dengan umur panen tanaman, dimana tanaman yang mempunyai umur berbunga pendek akan mempunyai umur panen yang pendek sehingga karakter umur berbunga bisa digunakan sebagai indikator penentuan umur genjah suatu tanaman.…”

Section: Seleksi Indeksunclassified

Karakter morfologi, heritabilitas dan indeks seleksi terboboti beberapa generasi F1 Melon (Cucumis melo L.)

Amzeri

Badami²,

Khoiri³

et al. 2020

J. AGRO

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Perakitan varietas melon hibrida dengan karakter-karaker unggul merupakan suatu upaya untuk memenuhi kebutuhan benih melon dalam negeri dan mengurangi ketergantungan impor benih melon dari luar negeri. Tujuan penelitian ini adalah untuk mengevaluasi penampilan fenotipik 24 genotip tanaman melon hibrida (F1). Penelitian ini dilakukan di Kebun Percobaan Agroteknologi Fakultas Pertanian Universitas Trunojoyo Madura pada bulan Februari sampai Mei 2019. Bahan yang digunakan adalah 24 genotip melon hibrida (F1) hasil persilangan di antara galur-galur melon. Penelitian ini menggunakan Rancangan Acak Kelompok dengan satu perlakuan yaitu genotip dan diulang sebanyak 3 kali. Analisis data menggunakan analisis varians (Anova) yang dilanjutkan dengan uji Duncan pada taraf 5%. Nilai heritabilitas dalam arti luas dihitung menggunakan taksiran nilai kuadrat tengah pada analisis varians. Seleksi indeks digunakan untuk mendapatkan kandidat varietas tanaman melon hibrida. Hasil penelitian menunjukkan bahwa 24 tanaman melon hibrida (F1) yang diuji memiliki perbedaan penampilan pada karakter umur berbunga, panjang buah, diameter buah, tebal daging buah, kadar gula, jumlah biji per buah, bobot buah per tanaman dan produksi per hektar. Nilai heritabilitas dalam arti luas tanaman melon hibrida (F1) pada karakter yang dievaluasi berkisar antara 0,15 – 0,71. Hasil nilai seleksi indeks terboboti menunjukkan bahwa terdapat dua calon varietas tanaman melon hibrida yang memiliki seleksi indeks tertinggi yaitu G4 dan G5. ABSTRACTAssembling hybrid melon varieties with superior characters is an effort to meet the needs of domestic melon seeds and reduce dependence on imported melon seeds. The purpose of this study was to evaluate the phenotypic appearance of 24 genotypes of hybrid melon plants (F1). This research was conducted at the Agrotechnology Experimental Field at Faculty of Agriculture, Universitas Trunojoyo Madura from February to May 2019. The materials used

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“…That is the reason Fasoulas [4] proposed the ratio between mean and standard deviation for stability estimations and, later, Fasoula [5] used the same ratio in its squared form as a better stability criterion for plant breeders. The criteria of stability across environments are of great consideration for maize breeders and breeders of other plants, while reliable criteria must undergo extensive research because of their relationship to genetic background [6]. Especially, Genotype × Environment (G × E) interactions are of great consideration for maize breeders, because they affect successful entrance of commercial hybrids in the market.…”

Section: Introductionmentioning

confidence: 99%

Estimations on Trait Stability of Maize Genotypes

Greveniotis

Bouloumpasi

Zotis³

et al. 2021

Agriculture

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The purposes of this study were to define the kind of trait inheritance through stability estimations of various traits in maize, to define the relationship between different environments and maize hybrids, and to propose the best environments and hybrids for farmers. Field experiments were conducted in two years (2011 and 2012) at four different locations in Greece: Florina, Trikala, Kalambaka and Giannitsa which were selected as they represent different environments. The genetic materials tested in a Randomized Complete Block (RCB) design, were 15 F1 commercial maize hybrids and 15 open-pollination lines developed from 4-cycle Honeycomb evaluation. Materials were sown and harvested by hand at different dates according to local conditions. Trait stability index (x̄ / s)2 across environments was computed for each maize trait studied: yield, specific weight, 1000-kernel weight, axis (spindle) weight, spike weight, number of kernels per spike, spike length and diameter, number of kernel rows, spindle diameter, main spike and plant height, prolificacy and number of kernels per row. The findings showed great differences in stability index between traits and also for the same trait across environments or between maize genotypes. GGE biplot for yield distributed genotypes in a different way for Florina on the basis of one main factor and managed to depict Trikala’s differential response on the basis of two factors. Almost the same trend was found for 1000-kernel weight and specific weight, where there was a wide core for similar responding genotypes. Basic conclusions of this research are summarized in great differences of various traits, indicating qualitative, medium or quantitative inheritance. Estimations for trait stability can be easily performed in a multi-genotype experiment using trait stability index. The most stable hybrids were proved to be 31Y43, COSTANZA and FACTOR. The environment favouring a general stable performance proved to be Florina.

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Selection Index in the Study of Adaptability and Stability in Maize

Cited by 14 publications

References 15 publications

Genotype × Environment Interaction of Yield and Grain Quality Traits of Maize Hybrids in Greece

Genotype × Environment Interaction of Yield and Grain Quality Traits of Maize Hybrids in Greece

Karakter morfologi, heritabilitas dan indeks seleksi terboboti beberapa generasi F1 Melon (Cucumis melo L.)

Estimations on Trait Stability of Maize Genotypes

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