scholarly journals Stabilitas Hasil Calon Varietas Jagung Hibrida Toleran Nitrogen Rendah

2021 ◽  
Vol 5 (1) ◽  
pp. 44-53
Author(s):  
Slamet Bambang Priyanto ◽  
Noladhi Wicaksana ◽  
Meddy Rachmadi
Keyword(s):  

Perakitan varietas jagung toleran Nitrogen rendah dihadapkan pada interaksi genotipe x lingkungan. Interaksi genotipe x lingkungan mengakibatkan suatu genotipe tidak mampu mempertahankan penampilannya pada kondisi suboptimal. Hal tersebut menyulitkan pemulia dalam memilih tanaman yang stabil pada kondisi optimal dan suboptimal Penggunaan beberapa metode analisis stabilitas secara simultan bisa memberikan informasi stabilitas yang lebih akurat. Penelitian ini bertujuan 1) mengetahui stabilitas hasil calon varietas jagung hibrida toleran N rendah, 2) Memperoleh varietas dengan stabilitas dan hasil tinggi pada kondisi lingkungan optimal dan suboptimal. Penelitian ini dilaksanakan di Kebun percobaan Bajeng Gowa, Propinsi Sulawesi Selatan,. Penelitian disusun dalam rancangan petak terbagi dengan dua kali ulangan. Tiga taraf pupuk N (N0=0 kg N ha-1, N1=100 kg N ha-1dan N2 =200 kg N ha-1) sebagai petak utama dan 39 genotipe jagung (36 hibrida hasil persilangan galur toleran N rendah dan 3 varietas pembanding Nasa 29, Bisi 18 dan Jakorin 1) sebagai anak petak. Variabel yang diamati adalah hasil biji pada kadar air 15%. Analisis stabilitas yang digunakan adalah metode Francis and Kannenberg, Finlay and Wilkinson, Eberhart and Russel, dan GGE Biplot. Hasil penelitian menunjukkan bahwa tidak ada genotipe yang stabil secara keseluruhan di keempat analisa yang digunakan, tetapi tiga genotipe stabil pada dua metode analisa stabilitas. Genotipe H5, H6 dan H15 merupakan genotipe dengan hasil dan stabilitas tinggi. Ketiga genotipe tersebut berpeluang untuk dilepas menjadi varietas jagung toleran N rendah.

2013 ◽  
Vol 39 (1) ◽  
pp. 141
Author(s):  
Jun LUO ◽  
Hua ZHANG ◽  
Zu-Hu DENG ◽  
Li-Ping XU ◽  
Liang-Nian XU ◽  
...  

2015 ◽  
Vol 41 (2) ◽  
pp. 214 ◽  
Author(s):  
Jun LUO ◽  
Li-Ping XU ◽  
Jun QIU ◽  
Hua ZHANG ◽  
Zhao-Nian YUAN ◽  
...  

2013 ◽  
Vol 20 (11) ◽  
pp. 1500-1507
Author(s):  
Nai-Yin XU ◽  
Guo-Wei ZHANG ◽  
Jian LI ◽  
Zhi-Guo ZHOU
Keyword(s):  

2021 ◽  
Author(s):  
Karla Jorge da Silva ◽  
Paulo Eduardo Teodoro ◽  
Michele Jorge da Silva ◽  
Larissa Pereira Ribeiro Teodoro ◽  
Milton José Cardoso ◽  
...  
Keyword(s):  

2015 ◽  
Vol 27 (3) ◽  
pp. 659-664 ◽  
Author(s):  
Runhui Wang ◽  
Dehuo Hu ◽  
Huiquan Zheng ◽  
Shu Yan ◽  
Ruping Wei

2012 ◽  
Vol 3 (1) ◽  
pp. 8 ◽  
Author(s):  
Jianwei Hou ◽  
Guochen Yang ◽  
Lifei Chen ◽  
Chunli Zhao

This project investigated the feasibility of using ground corn stalks as the substrate to cultivate marigold (<em>Tagetes erecta</em> L.). Five treatments including peat moss, composted corn stalks and freshly ground corn stalks were tested for their effects on marigold seedling growth. Seedling quality was described by several morphological and physiological parameters. Data were analyzed using analysis of variance and GGE biplot analysis. There were significant differences among the treatments for several growth parameters, such as seedling biomass, root biomass, stem diameter, leaf area, seedling vigor, chlorophyll content, photosynthetic rate, root activity, stomatal conductance, and intercellular CO2 concentration. Treatment T3, which contained composted ground corn stalks, had the best effect on marigold seedling growth. The results showed that corn stalk was a good substrate for marigold seedlings. GGE biplot demonstrated the substrate effects on marigold seedling quality, and graphically displayed the interrelationships among morphological and physiological parameters. T3 treatment was the best because four morphological parameters, including seedling biomass, roots biomass, stem diameter and seedling vigor, along with six physiological parameters fall into this sector. These results were consistent with the results analyzed by Statistical Analysis Software. For morphological parameters, the correlations are complicated. For physiological parameters, they were all positively correlated between each of two parameters.


2021 ◽  
Vol 23 (2) ◽  
pp. 44-58
Author(s):  
Gilberto Ken Iti Yokomizo ◽  
João Tomé de Farias Neto ◽  
Kuang Hongyu ◽  
Francisco de Oliveira Cruz Júnior
Keyword(s):  

PLoS ONE ◽  
2018 ◽  
Vol 13 (5) ◽  
pp. e0196095 ◽  
Author(s):  
Zolfaghar Shahriari ◽  
Bahram Heidari ◽  
Ali Dadkhodaie
Keyword(s):  

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