scholarly journals Stabilitas Genetik Potensi Hasil Pada Beberapa Varietas Tebu

2021 ◽  
Vol 1 (1) ◽  
pp. 46-58
Author(s):  
Cahya Nurcahya ◽  
Wiwit Budi Widyasari ◽  
Nurika Aini Yuniasari ◽  
Sylvia Lindawati
Keyword(s):  
Multiplicative Interaction ◽  
Main Effects

Salah satu kriteria dalam menentukan varietas tebu unggul adalah memiliki hasil tebu serta stabilitas yang tinggi. Hambatan dalam menentukan varietas unggul tebu adalah besarnya pengaruh interaksi genetik x lingkungan. Tujuan dari penelitian ini adalah untuk menentukan stabilitas genetik hasil tebu pada beberapa varietas harapan tebu. Penelitian dilakukan di 4 lokasi yaitu Jatiroto, Malang, Pasuruan dan Madura pada masa tanam (MT) 2016/2017 dan MT 2017/2018. Pada penelitian ini digunakan 14 varietas unggul harapan dan 2 varietas unggul bina sebagai kontrol. Rancangan percobaan berupa rancangan acak kelompok dengan 3 ulangan terdiri dari 6 juring panjang 6 meter. Hasil tebu digunakan untuk menilai stabilitas varietas yang diuji menggunakan metode AMMI (Additive Main Effects and Multiplicative Interaction). Hasil penelitian menunjukkan bahwa 66,7% keragaman dipengaruhi oleh lingkungan, 16,4% genotipe dan 13,2% interaksi genotipe x lingkungan. Hasil analisis AMMI menunjukkan PC1 sebagai komponen utama interaksi yang nyata dengan kontribusi mencapai 64,5 % dari total keragaman interaksi genotipe x lingkungan. Penilaian stabilitas berdasarkan nilai absolut PC1 dan biplot AMMI1 menunjukkan varietas G8, G1 dan G10 memiliki peringkat stabilitas paling tinggi namun hasil tebu yang rendah. Varietas G4 beradaptasi baik pada lokasi Jatiroto dan Malang. Varietas G6, G7, G11 dan G14 memiliki potensi hasil tebu dan stabilitas tinggi sehingga berpotensi untuk dilepas sebagai varietas unggul baru.

scholarly journals Effects of NP Fertilizer Placement Depth by Year Interaction on the Number of Maize (Zea mays L.) Plants after Emergence Using the Additive Main Effects and Multiplicative Interaction Model

Agronomy ◽  
2021 ◽  
Vol 11 (8) ◽  
pp. 1543
Author(s):  
Piotr Szulc ◽  
Jan Bocianowski ◽  
Kamila Nowosad ◽  
Henryk Bujak ◽  
Waldemar Zielewicz ◽  
...  
Keyword(s):  
Zea Mays ◽  
Zea Mays L ◽  
Interaction Model ◽  
Fertilizer Application ◽  
Fertilizer Placement ◽  
Multiplicative Interaction ◽  
Maize Cultivation ◽  
Main Effects ◽  
Placement Depth ◽  
Np Fertilizer

Field experiments were carried out at the Department of Agronomy of the Poznań University of Life Sciences to determine the effect of the depth of NP fertilization placement in maize cultivation on the number of plants after emergence. The adopted assumptions were verified based on a six-year field experiment involving four depths of NP fertilizer application (A1—0 cm (broadcast), A2—5 cm (in rows), A3—10 cm (in rows), A4—15 cm (in rows)). The objective of this study was to assess NP fertilizer placement depth, in conjunction with the year, on the number of maize (Zea mays L.) plants after emergence using the additive main effects and multiplicative interaction model. The number of plants after emergence decreased with the depth of NP fertilization in the soil profile, confirming the high dependence of maize on phosphorus and nitrogen availability, as well as greater subsoil loosening during placement. The number of plants after emergence for the experimental NP fertilizer placement depths varied from 7.237 to 8.201 plant m−2 during six years, with an average of 7.687 plant m−2. The 61.51% of variation in the total number of plants after emergence was explained by years differences, 23.21% by differences between NP fertilizer placement depths and 4.68% by NP fertilizer placement depths by years interaction. NP fertilizer placement depth 10 cm (A3) was the most stable (ASV = 1.361) in terms of the number of plants after emergence among the studied NP fertilizer placement depths. Assuming that the maize kernels are placed in the soil at a depth of approx. 5 cm, the fertilizer during starter fertilization should be placed 5 cm to the side and below the kernel. Deeper NP fertilizer application in maize cultivation is not recommended. The condition for the use of agriculture progress, represented by localized fertilization, is the simultaneous recognition of the aspects of yielding physiology of new maize varieties and the assessment of their reaction to deeper seed placement during sowing.

scholarly journals Genotype by environment interaction for physiological traits in sugar beet (Beta vulgaris L.) parents and hybrids using additive main effects and multiplicative interaction model

2021 ◽  
Author(s):  
Zahra Abbasi ◽  
Jan Bocianowski
Keyword(s):  
Sugar Beet ◽  
Beta Vulgaris ◽  
Interaction Model ◽  
Genotype By Environment Interaction ◽  
Physiological Traits ◽  
Environment Interaction ◽  
Extraction Coefficient ◽  
Multiplicative Interaction ◽  
Genotype By Environment ◽  
Main Effects

AbstractThe objective of this study was to assess genotype by environment interaction for 21 physiological traits in sugar beet (Beta vulgaris L.) parents and hybrids grown in Rodasht Agricultural Research Station in Iran by the additive main effects and multiplicative interaction model. The study comprised of 51 sugar beet genotypes [10 multigerm pollen parents, four monogerm seed parents and 36 F1 hybrids], evaluated at four environments in a randomized complete block design, with three replicates. The additive main effects and multiplicative interaction analyses revealed significant environment main effects with respect to all observed traits, except extraction coefficient of sugar. The additive main effects and multiplicative interaction stability values ranged from 0.009 (G17 for leaf Ca2+) to 9.698 (G09 for extraction coefficient of sugar). The parental forms 2 7233-P.29 (G38) and C CMS (G49) as well as hybrids 2(6)*C (G27) and 5*C (G33) are recommended for further inclusion in the breeding programs because of their stability and good average values of observed traits.

scholarly journals Genotype by environment interaction for seeds yield in pea (Pisum sativum L.) using additive main effects and multiplicative interaction model

Euphytica ◽  
2019 ◽  
Vol 215 (11) ◽  
Author(s):  
Jan Bocianowski ◽  
Jerzy Księżak ◽  
Kamila Nowosad
Keyword(s):  
Pisum Sativum ◽  
Block Design ◽  
Interaction Model ◽  
Genotype By Environment Interaction ◽  
Environment Interaction ◽  
Ge Interaction ◽  
Multiplicative Interaction ◽  
Genotype By Environment ◽  
Randomized Complete Block Design ◽  
Main Effects

Abstract The objective of this study was to evaluate the genotype by environment interaction using the additive main effects and multiplicative interaction model for seeds yield of pea cultivars grown in Poland. Twelve pea (Pisum sativum L.) cultivars: Bohun, Boruta, Cysterski, Ezop, Kavalir, Lasso, Medal, Santana, Tarchalska, Terno, Wenus and Zekon were evaluated in 20 environments (ten locations in 2 years). The experiment was laid out as randomized complete block design with three replicates. Seeds yield ranged from 26.10 dt ha−1 (for Wenus in Radostowo 2011) to 79.73 dt ha−1 (for Lasso in Słupia 2010), with an average of 50.70 dt ha−1. AMMI analyses revealed significant genotype and environmental effects as well as genotype-by-environment interaction with respect to seeds yield. In the analysis of variance, 89.19% of the total seeds yield variation was explained by environment, 1.65% by differences between genotypes, and 8.33% by GE interaction. The cultivar Terno is the highest stability. The cultivar Tarchalska is recommended for further inclusion in the breeding program because its stability and the highest averages of seeds yield.

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