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

Barbosa, Márcio Henrique Pereira; Resende, Marcos Deon Vilela de; Dias, Luíz Antônio dos Santos; Barbosa, Geraldo A.; Oliveira, Ricardo Augusto de; Peternelli, Luiz Alexandre; Daros, Edelclaiton

doi:10.1590/s1984-70332012000500010

Cited by 66 publications

(60 citation statements)

References 14 publications

(10 reference statements)

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“…Faz parte da nova geração de variedades desenvolvidas pelo Programa de Melhoramento Genético de Cana-de-açúcar (PMGCA) do CECA/UFAL, que está incluído na RIDESA (Barbosa et al, 2012).…”

Section: Methodsunclassified

Cana-de-açúcar com irrigação por gotejamento em dois espaçamentos entrelinhas de plantio

Junior¹,

Souza²,

Escobedo

et al. 2014

Rev. bras. eng. agríc. ambient.

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R E S U M OO manejo de irrigação por gotejamento e a colheita mecanizada na cultura da cana-de-açúcar estão sugerindo espaçamento entrelinhas de plantio do tipo combinado. Neste contexto, o objetivo do estudo foi avaliar o crescimento da variedade RB98710 irrigada por gotejamento em dois tipos de espaçamentos entrelinhas de plantio; para isto foram realizados dois plantios em agosto de 2011, sendo um com espaçamento entrelinhas de plantio único (1,0 m) e outro combinado (0,6 e 1,4 m). Os dados analisados foram variáveis de crescimento (índice de área foliar, altura do dossel, comprimento dos colmos e plantas por metro quadrado), variáveis de produção e elementos meteorológicos. O valor do fator de forma para a área foliar foi igual a 0,65; em ambos os espaçamentos entrelinhas de plantio as variáveis de crescimento foram relacionadas com os graus-dia acumulados e tiveram equações ajustadas com aplicações satisfatórias. As variáveis de crescimento avaliadas não diferiram entre os espaçamentos de plantio utilizados. As produtividades de colmos frescos (100,9 t ha -1 ) e de açúcar (17,8 t ha -1 ) da cana-de-açúcar irrigada cultivada em Rio Largo, Alagoas, não foram influenciadas pelo uso dos diferentes tipos de espaçamentos entrelinhas de plantio. Sugarcane with drip irrigation in two row spacing A B S T R A C TThe management of drip irrigation and mechanized harvesting in the sugarcane crop are suggesting combined row spacing. In this context the objective of this study was to evaluate the growth of RB98710 variety, with drip irrigation in two row spacing. For this, two plantings were performed in August 2011, with single (1.0 m) and combined row spacing (0.6 and 1.4 m). The analysed data were variables of plant growth (leaf area index, canopy height, length of stems and plants per square meter), production variables and weather elements. The form factor value for leaf area was equal to 0.65. In both row spacing, the variables of plant growth were related with accumulated degreedays and had adjusted equations with satisfactory applications. The evaluated variables of plant growth were not different by the used row spacing configurations. The fresh stalk yield (100.9 t ha ISSN 1807ISSN -1929ISSN v.18, n.8, p.798-804, 2014 Introdução A cana-de-açúcar é cultivada em cerca de 100 países situados em regiões tropicais e subtropicais do Mundo. A produção total no ano 2009 foi de 1 bilhão e 661 milhões de toneladas com produtividade média global de 69,8 t ha -1 ano -1 (Steduto et al., 2012). Na estimativa da safra 2012/2013 o Brasil apresentou produtividade média de aproximadamente 70,0 t ha -1 (CONAB, 2012). Na mesma safra Alagoas teve produtividade de cerca de 53 t ha -1 o que totalizou uma produção de 23,6 milhões de toneladas representando menos que 4,5% da nacional.As áreas de expansão para cultivos de cana-de-açúcar em Alagoas são restritas tornando-se imprescindível a utilização de tecnologias para aumento da produção; assim, o melhoramento genético se destaca entre as tecnologias indicando variedades mais ada...

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Section: Methodsunclassified

Cana-de-açúcar com irrigação por gotejamento em dois espaçamentos entrelinhas de plantio

Junior¹,

Souza²,

Escobedo

et al. 2014

Rev. bras. eng. agríc. ambient.

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“…A description of these programs and contribution of their former students was described by Geraldi (2012). The contribution of Universities in obtaining cultivars is discussed by Sediyama et al (2012) and by Barbosa et al (2012). The latter authors emphasize the work of sugar cane breeding, which is performed under a public-private partnership, in this case, universities-sugar mills.…”

Section: Retrospective Of Plant Breeding In Brazilmentioning

confidence: 99%

Contributions of plant breeding in Brazil: progress and perspectives

Ramalho

Dias

Carvalho

2012

Crop Breed. Appl. Biotechnol.

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“…The use of novel cultivars can increase the average productivity of the Brazilian sugar and alcohol sector and improve the quality of the raw materials used in the production of sugar and ethanol [1].…”

Section: Introductionmentioning

confidence: 99%

“…Although individual visual selection is routinely applied in the early phases of breeding programs [1] [3], this type of selection has been criticized for its inefficiency in terms of the absence of replicates, plant competition and confounding environmental effects [4]. The aforementioned authors have advocated the use of family selection followed by individual selection to produce greater gains than that obtained via mass selection, especially for low-heritability traits.…”

Section: Introductionmentioning

confidence: 99%

Decision Trees as a Tool to Select Sugarcane Families

Peternelli¹,

Bernardes²,

Brasileiro³

et al. 2018

AJPS

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New strategies are required in the sugarcane selection process to optimize the genetic gains in breeding programs. Conventional selection strategies have the disadvantage of requiring the weighing of all the plants in a plot or a sample of stalks and the counting of the number of stalks in all the experimental plots, which cannot always be performed because more than 200,000 genotypes routinely comprise the first test phase (T1) of most sugarcane breeding programs. One way to circumvent this problem is to use decision trees to rank the yield components (the stalk height, the stalk diameter and the number of stalks) and to subsequently use this categorization to select the best families for a specific trait. The objective of this study was to evaluate the categorization of yield components using the classification and regression tree (CART) algorithm as a family selection strategy by comparing the performance of CART with those of conventional methods that require the weighing of stalks, such as the best linear unbiased prediction (BLUP) with sequential (BLUPS) or individual simulated (BLUPIS) procedures. Data from five experiments performed in May 2007 in a randomized block design were analyzed. Each experiment consisted of five blocks, 22 families and two controls (commercial varieties). CART effectively defined the classes of the yield components and selected the best families with an accuracy of 74% compared to BLUPS and BLUPIS. Families with at least 11 stalks per linear meter of furrow resulted in productivities that were above the average productivity of the commercial varieties used in this study and are, therefore, recommended for selection.

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

Abstract: Abstract

Cited by 66 publications

References 14 publications

Cana-de-açúcar com irrigação por gotejamento em dois espaçamentos entrelinhas de plantio

Cana-de-açúcar com irrigação por gotejamento em dois espaçamentos entrelinhas de plantio

Contributions of plant breeding in Brazil: progress and perspectives

Decision Trees as a Tool to Select Sugarcane Families

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