Path Analysis for Selection of Saccharification‐Efficient Sugarcane Genotypes through Agronomic Traits-Reference-Cited by-同舟云学术

Path Analysis for Selection of Saccharification‐Efficient Sugarcane Genotypes through Agronomic Traits

Published:2014-09 Issue:5 Volume:106 Page:1643-1650
ISSN:0002-1962
Container-title:Agronomy Journal
language:en
Short-container-title:Agron.j.

Author:

Baffa David Carlos F.¹,A. Costa Paulo M.¹,Silveira Gustavo¹,Lopes Francis Júlio F.²,Barbosa Márcio Henrique P.¹,Loureiro Marcelo E.³,Cruz Cosme Damião⁴,Peternelli Luiz Alexandre⁵

Affiliation:

1. Dep. of Crop Science Federal Univ. of Viçosa 36570-000 Viçosa MG Brazil

2. Dep. of Biology Federal Univ. of Goiás 74001-970 Goiânia GO Brazil

3. Dep. of Plant Physiology Federal Univ. of Viçosa 36570-000 Viçosa MG Brazil

4. Dep. of Biology Federal Univ. of Viçosa 36570-000 Viçosa MG Brazil

5. Dep. of Statistics Federal Univ. of Viçosa 36570-000 Viçosa MG Brazil

Funder

Conselho Nacional de Desenvolvimento Científico e Tecnológico

Publisher

Wiley

Subject

Agronomy and Crop Science

Link

https://onlinelibrary.wiley.com/doi/pdf/10.2134/agronj13.0576

Reference30 articles.

1. The influence of characters association on behavior of sugarcane genotypes (Saccharum spp.) for cane yield and juice quality;Ahmed A.O.;World J. Agric. Sci.,2010

2. Multivariate analysis of sugar yield factors in sugar cane. Am.-Eurasian J;Al-Sayed H.M.;Sustain. Agric.,2012

3. Genetic improvement of sugar cane for bioenergy: the brazilian experience in network research with RIDESA

4. Lignin modification improves fermentable sugar yields for biofuel production

Cited by 11 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Chemical and histological characterization of internodes of sugarcane and energy-cane hybrids throughout plant development;Industrial Crops and Products;2023-09

2. Variability for cell-wall and yield components in commercial sugarcane (Saccharum spp.) progeny: contrasts with parental lines and energy cane;Journal of Crop Improvement;2022-01-17

3. Near-infrared spectroscopy outperforms genomics for predicting sugarcane feedstock quality traits;PLOS ONE;2021-03-04

4. Near-infrared spectroscopy outperforms genomics for predicting sugarcane feedstock quality traits;2020-07-16

5. Regional genomic heritability mapping for agronomic traits in sugarcane;2020-04-18