Energy Cane x Sugarcane Microregion Interaction in the State of Pernambuco: Sugarcane for Production of Bioenergy and Renewable Fuels

被引:4
作者
Dutra Filho, Joao de Andrade [1 ]
Gomes-Silva, Frank [2 ]
Souto, Lauter Silva [3 ]
Souza, Anielson dos Santos [3 ]
de Luna, Romulo Gil [3 ]
Moreira, Guilherme Rocha [2 ]
Filho, Moacyr Cunha [2 ]
Silva, Marcelo Cleon de Castro [3 ]
Fiuza Porto, Andrea Chaves [4 ]
de Brito, Cicero Carlos Ramos [5 ]
da Costa, Maria Lindomarcia Leonardo [6 ]
de Oliveira, Odair Honorato [7 ]
Pereira Silva, Amaro Epifanio [8 ]
Cavalcante Silva, Fabiana Aparecida [9 ]
Pinto dos Santos, Andre Luiz [2 ]
Junior, Tercilio Calsa [10 ]
机构
[1] Univ Fed Pernambuco, Vitoria Acad Ctr, Biol Sci Nucleus, Rua Alto Reservatorio S-N, BR-55608680 Vitoria De Santo Antao, PE, Brazil
[2] Univ Fed Rural Pernambuco, Dept Stat & Informat, Rua Dom Manuel Medeiros S-N, BR-52171900 Recife, PE, Brazil
[3] Univ Fed Campina Grande, Agrifood Sci & Technol Ctr, Rua Jairo Vieira Feitosa 1770, BR-58840000 Pombal, Paraiba, Brazil
[4] Univ Fed Rural Pernambuco, Dom Agostinho Ikas Agr Coll, Ave Dr Francisco Correa 643, BR-54735000 Sao Lourenco Da Mat, PE, Brazil
[5] Fed Inst Pernambuco, Ave Prof Luiz Freire 500, BR-50740545 Recife, PE, Brazil
[6] Univ Fed Paraiba, Anim Sci Dept, 12 Rodovia,PB-079, BR-58397000 Areia, Paraiba, Brazil
[7] Fed Univ Grande Dourados, Dept Agr Sci, R Joao Rosa Goes 1761, BR-79825070 Dourados, MS, Brazil
[8] Fed Rural Univ Permambuco, Carpina Sugarcane Expt Stn, Rua Angela Cristina Canto Pessoa Luna S-N, BR-55810700 Carpina, PE, Brazil
[9] Northeast Strateg Technol Ctr, Phytosanit Diag Lab, Ave Prof Luis Freire 1, BR-50740545 Recife, PE, Brazil
[10] Univ Fed Pernambuco, Dept Genet, Biosci Ctr, Ave Prof Moraes Rego 1235, BR-50670901 Recife, PE, Brazil
来源
AGRONOMY-BASEL | 2021年 / 11卷 / 06期
关键词
genotype x environment interaction; high yield potential; local varieties; statistical models; prediction models; stability traits; Saccharum spp; PHENOTYPIC STABILITY; STATISTICAL-ANALYSIS; ADAPTABILITY; GENOTYPES; ADAPTATION; PARAMETERS; REGION; SOUTH;
D O I
10.3390/agronomy11061046
中图分类号
S3 [农学(农艺学)];
学科分类号
0901 ;
摘要
Assessing the differential behavior of a group of genotypes in various environments is fundamentally important in any breeding program. As sugarcane is the most important crop in the state of Pernambuco, it is of great relevance to study its performance in different cultivation sites to assist in the recommendation of new cultivars that increase the productivity of the cane fields. In view of the new demand from the sugar-energy sector for cultivars with high energy potential, this work aimed to select and recommend new genotypes with high fiber and sucrose percentage in the sugarcane microregions of the state of Pernambuco. The methodologies used to classify genotypes for adaptability and stability were as follows: simple linear regression, the modified centroid method, additive main effects, multiplicative interaction analysis, and linear mixed models. Genotypes with higher productivity and specific adaptability to the tested microregions were identified. The methodologies applied were efficient and complementary in recommending genotypes with favorable prospects for increasing sugar productivity, cogeneration of electric energy and the production of renewable fuels. Genotypes 6, 7, 9, 14, 16, and 18 stand out in terms of the productivity of sugar and fiber, with high potential to be released as commercial cultivars.
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页数:22
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