Selection index using the graphical area applied to sugarcane breeding

Silva, L. A.; Resende, Rafael Tassinari; Ferreira, Robério Anastácio; Silva, G. N.; Kist, Volmir; Barbosa, Márcio Henrique Pereira; Nascimento, Moysés; Bhering, Leonardo Lopes

doi:10.4238/gmr.15038711

Cited by 10 publications

(6 citation statements)

References 25 publications

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“…Productivity can be selected directly as main selection character (Abhilash 2018). However, many factors influence productivity so that it is better to use indirect selection which correlates with productivity (Silva et al 2016;Akbar et al 2018;Al-kordy et al 2019;Anshori et al 2019). Selection index becomes alternative selection method for several characters (Islam et al 2017;Akbar et al 2019).…”

Section: Introductionmentioning

confidence: 99%

Agronomic and yield selection of doubled haploid lines of rainfed lowland rice in advanced yield trials

et al. 2021

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Abstract. Akbar MR, Purwoko BS, Dewi IS, Suwarno WB, Sugiyanta, Anshori MF. 2021. Agronomic and yield selection of doubled haploid lines of rainfed lowland rice in advanced yield trials. Biodiversitas 22: 3006-3012. Selection process is important step to obtain high yielding variety. This study aimed to obtain information on agronomic performance of doubled haploid lines of rainfed rice in advanced yield trials and select the best lines for multi-location yield trials. Two experiments were conducted in Bogor and Subang using a randomized complete block design for each location and consisted of 35 doubled haploid lines and two check varieties namely Ciherang and Inpari 18 as a treatment. The result revealed that interaction between genotype and environment (G x E) significantly affected all agronomic characters, except on the panicle length. Characters with high heritability value were all agronomic characters except number of productive tillers and productivity. Genotypic correlation analysis showed that number of productive tillers and weight of 1000 grains had significant and positive correlation with productivity. The selection used weighted selection index based on multivariate analysis. Fourteen lines were selected for multi-location yield trials. These lines had characteristics as follows: number of productive tillers (14.0-17.7 tillers), weight of 1000 grains (24.7-32.5 g), and productivity (5.0-6.2 ton ha-1). The selected lines can be evaluated further to obtain superior lines in multi-location trials.

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Section: Introductionmentioning

confidence: 99%

Agronomic and yield selection of doubled haploid lines of rainfed lowland rice in advanced yield trials

et al. 2021

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“…Metode seleksi indeks dapat digunakan untuk melakukan seleksi dengan beberapa karakter. Genotipe yang terpilih merupakan genotipe dengan kombinasi karakterkarakter yang diinginkan (Akbar et al, 2019b;Hidayatullah et al, 2018;Silva et al, 2016). Indeks seleksi digunakan untuk menyeleksi genotipe yang didasarkan pada beberapa karakter agronomi dengan pembobotan sesuai dengan nilai ekonominya (Ramos et al, 2014;Gazal et al, 2017;Cui et al, 2020).…”

Section: Pendahuluanunclassified

Seleksi Galur-galur Dihaploid Padi Hitam pada Uji Daya Hasil Lanjutan

Kuncoro

Sani

Purwoko

et al. 2021

J. Agron. Indonesia

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Padi hitam merupakan sumber karbohidrat yang bermanfaat untuk kesehatan. Pengujian daya hasil merupakan tahapan penting dalam menentukan keberhasilan pemuliaan padi beras hitam. Tujuan penelitian ini ialah untuk memperoleh informasi keragaan agronomi dan menyeleksi galur-galur dihaploid padi beras hitam yang memiliki penampilan agronomi baik dan berdaya hasil tinggi untuk pengujian multi lokasi. Penelitian ini dilakukan dari bulan November 2019 sampai Juli 2020 di Bogor, Jawa Barat dan Malang, Jawa Timur. Sebanyak 23 galur dihaploid padi hitam yang memiliki sifat agronomi baik dengan produktivitas tinggi dan 3 varietas pembanding yaitu Aek Sibundong, Jeliteng, dan Inpari 24 digunakan sebagai materi genetik. Studi ini menggunakan rancangan rancangan kelompok lengkap teracak dengan 3 ulangan pada setiap percobaan. Hasil penelitian menunjukkan bahwa interaksi genotipe dan lingkungan berpengaruh nyata terhadap semua karakter pengamatan kecuali pada karakter lama pengisian gabah berdasarkan analisis keragaman. Sebanyak 14 galur yang terseleksi berdasarkan indeks terboboti memiliki karakteristik jumlah anakan produktif per rumpun dari 15.8 hingga 25.9, umur panen genjah dari 115.2 to 121.9 hari setelah semai, dan produktivitas >5.4 ton ha-1. Keragaan agronomi dan daya hasil galur-galur dihaploid padi yang terseleksi pada penelitian ini memerlukan pengujian lebih lanjut melalui uji multi lokasi untuk memperoleh calon varietas unggul baru padi beras hitam. Kata kunci: agronomi baik, indeks seleksi, kriteria seleksi, kultur antera padi

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“…This strategy consists in establishing a new trait from a linear combination of all the target traits, considering that the weight coefficients are estimated to maximize the correlation between the index and the true genetic values of the genotypes to be selected. Several studies have addressed the application of selection indexes to plant breeding, leading to gains in a set of traits simultaneously (França et al 2016;Junqueira et al 2016;Kumar et al 2016;Silva et al 2016). Thus, the interest for studying the methodology efficiency in genomic selection has increased (Ceron-Rojas et al 2015;Covarrubias-Pazaran et al 2018;Fernandes et al 2018).…”

Section: Plant Breedingmentioning

confidence: 99%

Multi-trait genomic selection indexes applied to identification of superior genotypes

Silva

Peixoto

et al. 2021

Bragantia

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Most studies on genomic selection in plant breeding compare different statistical methods of univariate approach. However, multi-trait methodologies should be considered since they allow the simultaneous selection of superior genotypes in several economic traits. Here, the aims were to compare the selection accuracy and efficiency of the multivariate partial least square (MPLS) method compared with random regression best linear unbiased predictor (rrBLUP), Bayesian Lasso (Blasso) and univariate partial least square (UPLS) and to develop genomic selection indexes efficient for superior genotypes identification in plant breeding. Ten F 2 populations with 800 individuals were simulated, considering four traits with different heritabilities. Genomic selection analyses using rrBLUP, Blasso, UPLS, and MPLS were conducted. Four genomic selection indexes were elaborated by the sum of the marker effects obtained for each trait, weighted by the respective residual variance. Multi-trait indexes were developed based on the assumptions of each methodology mentioned (rrBLUP, Blasso, UPLS, and MPLS), and were denominated I-rrBLUP, I-Blasso, I-UPLS, and I-MPLS. Processing time, selective accuracy, selection gains, and selection coincidence were used to compare the methods and the selection indexes proposed. The MPLS method had similar results compared to UPLS method for the low heritability traits and was less efficient than the rrBLUP and Blasso. The genome selection indexes provided the highest total genetic gains. The I-rrBLUP and I-MPLS indexes stood out for high efficiency in selecting superior genotypes in the shortest processing time. Results suggest that the genomic selection indexes proposed in this study may be promising for plant breeding programs.

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Selection index using the graphical area applied to sugarcane breeding

Cited by 10 publications

References 25 publications

Agronomic and yield selection of doubled haploid lines of rainfed lowland rice in advanced yield trials

Agronomic and yield selection of doubled haploid lines of rainfed lowland rice in advanced yield trials

Seleksi Galur-galur Dihaploid Padi Hitam pada Uji Daya Hasil Lanjutan

Multi-trait genomic selection indexes applied to identification of superior genotypes

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