UENF MSV2210 and UENF MS2208: Silage and green maize hybrids for Rio de Janeiro State, Brazil

Pereira, Messias Gonzaga; Crevelari, Jocarla Ambrosim; Viana, Flávia Nicácio; Gonçalves, Gabriel Moreno Bernardo; Júnior, José Arantes Ferreira; Gonçalves, Vivane Mirian Lanhellas; Bendia, Laila Cecília Ramos; Azevedo, Flávio Henrique Vidal; Durães, Nayara Norrene Lacerda; Vieira, Ricardo Augusto Mendonça; Viana, Leandro Hespanhol; Rabello, Wanderson Souza

doi:10.1590/1984-70332020v20n3c44

Cited by 3 publications

(5 citation statements)

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“…Corn genetic improvement can enhance its agronomic performance and nutritional qualities for silage production (Roth et al, 1970;Deinum and Bakker, 1981;Crevelari et al, 2019;Pereira et al, 2020). Some results indicate that environmental factors, such as agronomic factors that change grain:stover ratio, do not greatly influence the final digestibility of the corn silage, nor improve ensiling characteristics, but the factors affecting yields and economic returns may be worth investigating (Russell et al, 1992).…”

Section: Discussionmentioning

confidence: 99%

A two-location trial for selecting corn silage hybrids for the humid tropic: forage and grain yields and in vitro fermentation characteristics

Bendia¹,

Oliveira²,

Azevedo³

et al. 2021

Revista Brasileira De Zootecnia

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The goal of our study was to evaluate the nutritional potential of dented corn hybrids for silage production. We performed a two-location trial in which 19 dented corn hybrids and five corn controls grew in four randomized blocks within two experimental areas located in the Northern (Campos dos Goytacazes) and Northwestern (Itaocara) Rio de Janeiro State, Brazil. We recorded yields of fresh and dry forage matter and yields of fresh and dry grain matter, as well as chemical composition variables. We interpreted variables by assuming a Normal distribution for yield variables and a Beta distribution for chemical composition and ratios. The SAS GLIMMIX procedure fitted the linear model under those assumptions. Dual-pool models fitted the gas production profiles generated by in vitro anaerobic fermentations. We used the nlme of R software to fit the dual-pool models and the information-theoretic approach to evaluate their quality of fit. We did a cluster analysis (NbClust of R) to group corn hybrids based on fresh and DM yields and kinetic parameters of in vitro gas production. Three clusters of corn hybrids stood out, their basic differences relied on fresh and DM yields. Nonetheless, the least-squares means for gas production characteristics among groups did not present disjoint confidence intervals. Therefore, we can infer that dented corn hybrids rank by forage yield, but not by forage quality, and recommend the most productive ones that consistently outstand in both locations (hybrids UENF-2203, UENF-2192, UENF-2193, and UENF-506-11).

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Section: Discussionmentioning

confidence: 99%

A two-location trial for selecting corn silage hybrids for the humid tropic: forage and grain yields and in vitro fermentation characteristics

Bendia¹,

Oliveira²,

Azevedo³

et al. 2021

Revista Brasileira De Zootecnia

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“…Eleven genotypes were evaluated: eight precommercial topcross hybrids (UENF‐2205, UENF‐2198, UENF‐2207, UENF MS2208, UENF‐2209, UENF MSV2210, UENF‐2202, and UENF‐2191) belonging to the heterotic group Dent and obtained by the corn breeding program of the Darcy Ribeiro State University of Northern Rio de Janeiro (Crevelari et al., 2017, 2018, 2019; Pereira et al., 2020), and three commercial hybrids used as controls (AG 1051, BM 3061, and UENF 506‐11). The three commercial hybrids used as a control were selected for presenting favorable agronomic characteristics, high green biomass yield (GMY), and planting flexibility in different regions of Brazil.…”

Section: Methodsmentioning

confidence: 99%

“…Value for cultivation and use trials of corn hybrids for silage were carried out in three municipalities in the north and northwest of Rio de Janeiro-Campos dos Goytacazes (21˚24′48″ (Crevelari et al, 2017(Crevelari et al, , 2018(Crevelari et al, , 2019Pereira et al, 2020), and three commercial hybrids used as controls (AG 1051, BM 3061, and UENF 506-11). The three commercial hybrids used as a control were selected for presenting favorable agronomic characteristics, high green biomass yield (GMY), and planting flexibility in different regions of Brazil.…”

Section: Plant Materialsmentioning

confidence: 99%

Adaptability and stability of corn hybrids for silage via genotype and genotype × environment interaction biplot

et al. 2023

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The occurrence of the genotype × environment (G × E) interaction is one of the main factors that hinder the selection of adapted and stable genotypes. The genotype and G × E interaction (GGE) biplot methodology is an efficient process to detect corn (Zea mays L.) hybrids for silage and, consequently, will help in the recommendation of new and more stable hybrids in different environments in breeding programs. In this sense, this study aimed to evaluate and select corn hybrids for silage that simultaneously combine high yield and stability in different environments in the state of Rio de Janeiro, Brazil, via GGE biplot. Eleven corn hybrids, eight precommercial topcrosses and three commercial controls, were evaluated at three sites (Campos dos Goytacazes, Cambuci, and Itaocara, Rio de Janeiro) during two seasons: the 2017-2018 season and 2018-2018 off-season. The experiments were designed in completely randomized blocks with three replications. Individual and joint analyses of variance were performed and, after detecting significant interaction between genotype and environment, the adaptability and phenotypic stability of corn genotypes for silage were analyzed using the GGE biplot methodology. The GGE biplot analysis was efficient in interpreting the data and represented 83.68% of the total variation in the first two principal components. The use of the GGE biplot method allowed the recommendation of more productive, stable, and responsive hybrids for the state of Rio de Janeiro. The hybrid UENF MS2208 is indicated for cultivation in the state of Rio de Janeiro for combining high green biomass yield and stability. INTRODUCTIONCorn (Zea mays L.) is a crop that has importance in the socioeconomic, environmental, and cultural spheres worldwide and also in Brazil. It mainly is due to its potential use in human and animal food and biofuel production among others AEC, average environment coordinate; G × E, genotype × environment interaction; GGE, genotype and genotype × environment interaction; GMY, green biomass yield.

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“…Silage is a preserved fresh forage with high levels of energy and high yields of green and dry matter, with high nutritional value, being used at any time of the year in animal feed (TAS 2020, ZHAO et al 2022. Maize silage has become one of the main energy components in ruminant nutrition (KOLAR et al 2022, PEREIRA et al 2020, with the use of plant parts (leaves, stem, ear, grain) (SOUZA et al 2022).…”

Section: Introductionmentioning

confidence: 99%

“…Forage production determines the amount of dry matter available to ruminant animals, and forage quality can influence animal growth and its products (RICHMAN et al 2015). The characteristics analyzed in the plant in the field for forage yield are strictly related to the type of maize used (CREVELARI et al 2018, PEREIRA et al 2018, PEREIRA et al 2020) and the environmental conditions of cultivation, mainly temperature and precipitation that can modify the physiological processes and the growth of the forage (QUAN et al 2020, TAS 2020.…”

Section: Introductionmentioning

confidence: 99%

Genotypes maize for biomass and grains of second season cultivation in Dourados-MS

Guimarães,

Ceccon,

Oliveira

et al. 2023

Rev. Ciênc. Agrovet.

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Maize is a versatile crop, which allows from the production of whole plant silage to the harvest of grain maize, but it is necessary to verify the genotypes with these potentials according to the region of cultivation. Thus, the objective of this work was to identify the aptitude of maize for biomass for silage and grain in two years of second season cultivation in Dourados-MS. The experiment was conducted at Embrapa Western Agriculture, Dourados, MS, Brazil under field conditions in the experimental design was in randomized complete block in a 6x2 factorial scheme be six maize genotypes (BRS1010, KWS9606, BRS3046, 1P2224, 1Q2383, CAPO) and two growing years (2021 and 2022) with five replications. The agronomic traits of plant biomass for silage (plant and ear heigh, stem diameter number of leaves, green mass yield plant, leaf, steam more tassel and ear, dry matter yield in the plant and efficiency of land) and maize grain (ear diameter ear length, number of grain rows per ear, number of grains per row in ears, hundred seed weight and grain yield) were evaluated. There was an increase in the values of the traits for whole maize plant in the year 2022 compared to the year 2021. The maize genotypes indicated for biomass for silage were BRS3046, KWS9606 and 1Q2383, as for maize grain, the experimental genotypes that are under development, 1P2224 and 1Q2383, are promising options for the region.

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UENF MSV2210 and UENF MS2208: Silage and green maize hybrids for Rio de Janeiro State, Brazil

Abstract: This study described the main characteristics of the maize cultivars UENF MSV2210 and UENF MS2208. Adapted to the North and Northwestern regions of the state of Rio de Janeiro, they have a high agronomic performance and were developed for both silage and green maize production.

Cited by 3 publications

References 6 publications

A two-location trial for selecting corn silage hybrids for the humid tropic: forage and grain yields and in vitro fermentation characteristics

A two-location trial for selecting corn silage hybrids for the humid tropic: forage and grain yields and in vitro fermentation characteristics

Adaptability and stability of corn hybrids for silage via genotype and genotype × environment interaction biplot

Genotypes maize for biomass and grains of second season cultivation in Dourados-MS

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