Desenvolvimento de cultivares de soja em função do grupo de maturação e tipo de crescimento em terras altas e terras baixas

Zanon, Alencar Júnior; Winck, José Eduardo Minussi; Streck, Nereu Augusto; Rocha, Thiago Schmitz Marques da; Ceolin, Jossana; Richter, Gean Leonardo; Lago, Isabel; Santos, Patrícia Marques; Maciel, Leandro da Rosa; Guedes, Jerson Vanderlei Carús; Marchesan, Enio

doi:10.1590/1678-4499.0043

Cited by 51 publications

(53 citation statements)

References 12 publications

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“…Data on soybean seed yield were reported on a 13% seed moisture basis. More details about the experiments can be found in Richter et al (2014) and Zanon et al (2015aZanon et al ( , 2015b. Daily weather data, including solar radiation, T min , T max , relative humidity, and precipitation were collected on-site or from nearby weather stations.…”

Section: Database Descriptionmentioning

confidence: 99%

“…Likewise, the information reported here can be used to fine-tune current management of soybean crops in southern Brazil. With proper characterization of the phenology of soybean cultivars currently used by farmers (Zanon et al, 2015b), measurement of the water status at sowing, and the aid of crop simulation models (Setiyono et al, 2010), it would be possible to develop decision-aid tools to recommend sowing date and MGs to match reproductive stages with the highest Q and, hence, maximize the odds of reaching the yield potential while minimizing the probability of a water deficit. Results from this study indicate that a combination of short and intermediate MG with early sowing dates seems to increase soybean Y p and Y w in the subtropical environment of southern Brazil.…”

Section: Influence Of Sowing Date and Maturitymentioning

confidence: 99%

“…Results from this study indicate that a combination of short and intermediate MG with early sowing dates seems to increase soybean Y p and Y w in the subtropical environment of southern Brazil. Indeed, among the many recent changes occurring in soybean production systems in this region, one of the most important is the gradual shift toward early sowing dates and shorter cultivar MGs (Zanon et al, 2015b). With an earlier sowing date and shorter MG, it may be possible to increase the cropping intensity and grow two summer crops on the same piece of land within a 12-mo period.…”

Section: Influence Of Sowing Date and Maturitymentioning

confidence: 99%

“…Rio Grande do Sul (RS) is located in southern Brazil and ranks third among soybean-producing states, producing 17% of the total soybean production in Brazil, with an average yield of 2.5 Mg ha -1 (Instituto Brasileiro de Geografi a e Estatística, 2015). Expansion of the soybean area in RS in recent years has been due to: (i) a shift toward early sowing dates, which allows growing two summer crops per year, and (ii) introduction of soybean in lowland areas typically used for growing irrigated rice (Oryza sativa L.) (Zanon et al, 2015b). Despite a continuous increase in average on-farm soybean yield during recent years, there is still a large gap between yields measured in research station experiments or yield-contest-winning fi elds (5.5-6.9 Mg ha -1 ) and the current average farm yield (2.5 Mg ha -1 ) (Battisti et al, 2013).…”

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confidence: 99%

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Climate and Management Factors Influence Soybean Yield Potential in a Subtropical Environment

2016

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Th e interactive infl uence of climate and management factors on soybean [Glycine max (L.) Merr.] yield potential has not been investigated in subtropical production environments. Such information can help fi ne tune current soybean management practices to increase yield and resource-use effi ciency and to minimize risk. Th e objective of this study was to identify key biophysical and management factors governing variation in soybean yield potential in southern Brazil. To accomplish that objective, we used a large database on soybean yield and phenology collected from a combination of on-farm and research-station experiments conducted during four crop growing seasons (2011)(2012)(2013)(2014)(2015) in Rio Grande do Sul (southern Brazil). Th e database portrayed a wide range of weather conditions, soil types, water regimes, sowing dates, and cultivar maturity groups (MGs). Water supply and photothermal quotient explained most of yield variation across site-years. A boundary function was derived for the relationship between soybean yield and water supply, and an attainable water productivity of 9.1 kg grain ha -1 mm -1 . A seasonal water supply of ?800 mm appeared suffi cient to maximize seed yield, and most late-sown crops fell short of this value. Late-sown crops were also exposed to a lower photothermal quotient during reproductive stages, and this explained the yield penalty of 26 kg ha -1 d -1 of sowing delay aft er 4 November observed for non-water-limited crops. Sowing date, accompanied by proper selection of cultivar MG and determination of soil water status at sowing time, appear to be the most cost-eff ective management practices to ensure a high photothermal quotient and low risk of water defi cit during reproductive stages and, therefore, a high yield potential in the subtropical environment of southern Brazil.

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Section: Database Descriptionmentioning

confidence: 99%

Section: Influence Of Sowing Date and Maturitymentioning

confidence: 99%

Section: Influence Of Sowing Date and Maturitymentioning

confidence: 99%

mentioning

confidence: 99%

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Climate and Management Factors Influence Soybean Yield Potential in a Subtropical Environment

2016

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“…Because of its higher protein and lipids content, it is featured in the national and international markets, influencing on the economy of small, medium and large farm companies. Nowadays the yield is been increased due to the constant application of new growing technologies, such as the use of genetic materials with high income potential (RICHTER et al, 2014;ZANON et al, 2015). Many factors can influence the crop development, among which the meteorological elements such as solar radiation, photoperiod, temperature and rainfall.…”

Section: Introductionmentioning

confidence: 99%

Estimated length of soybean phenological stages

Rockenbach

Caron

Souza

et al. 2016

SCA

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The use of modeling is a trend for agronomic science that aims to detect factors that could limit the growing practices and influence the potential yield of some crops. The objective of this study was to calculate the accumulated thermal time and estimate the phenological stages length of three soybean cultivars in two crop years, using agronomic models associated to meteorological variables. Two experiments were conducted in a field at the Agroclimatology Laboratory (LAGRO) of the Federal University of Santa Maria/UFSM, campus of Frederico Westphalen/RS, Brazil during the 2012/2013 and 2013/2014 crop years. A randomized block in a factorial scheme 6x3 with six spatial arrangements (45, crossed, 20, 20x40, 20x60 and 20x80 cm) and three cultivars with different cycles and growth habits (BMX Ativa RR/determinate, BMX Turbo RR/indeterminate and BMX Potência RR/indeterminate) with three replications were used for the experimental design. Sowing was held on 11/28/2012 and 12/02/2013. The assessed phenological stages were sowing-emergence; emergence -final vegetative; final vegetative -full bloom; full bloom -physiological maturity. The duration of each stage was related to meteorological parameters: maximum temperature, minimum temperature, average temperature, rainfall, solar radiation, and thermal time. Air temperature influences soybean growth and development. The accumulated thermal time varies between years and among cultivars, and it is the main contributor to the estimated duration of the phenological stages. Key words: Weather elements. Glycine max L. Merrill. Agronomic models. Thermal time. Temperature. ResumoA utilização de modelagem é uma das tendências da ciência agronômica que objetiva detectar os fatores que possam limitar o cultivo e influenciar no potencial de rendimento das culturas. O objetivo deste trabalho foi calcular a soma térmica acumulada e estimar a duração das fases fenológicas de três cultivares de soja em dois anos agrícola, por meio de modelos agronômicos associados às variáveis meteorológicas. Dois experimentos foram conduzidos no campo experimental do Laboratório de Agroclimatologia (LAGRO) da Universidade Federal de Santa Maria/UFSM, campus Frederico Westphalen/RS nos anos agrícolas de 2012/2013 e 2013/2014. O delineamento experimental usado foi de blocos casualizados em esquema fatorial 6x3, ou seja, seis arranjos espaciais (45, cruzado, 20, 20x40, 20x60 e 20x80 cm) e três cultivares de ciclos e hábito de crescimento distintos (BMX Ativa RR/determinada, BMX Turbo RR/indeterminada e BMX Potência RR/indeterminada) com três repetições. As semeaduras foram realizadas nos dias 28/11/2012 e 02/12/2013. As fases fenológicas avaliadas foram: semeadura -emergência; emergência -vegetativo final; vegetativo final -floração plena; floração plena -maturação fisiológica. Relacionaram-se a duração de cada fase com os elementos meteorológicos: temperatura máxima, temperatura mínima, temperatura média, precipitação, radiação solar e soma térmica acumulada. A temperatura do ar influencia no ...

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Comparing tillage methods for growing lowland soybean and corn during wetter-than-normal cropping seasons

Goulart

Reichert

Rodrigues

et al. 2021

Paddy Water Environ

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Desenvolvimento de cultivares de soja em função do grupo de maturação e tipo de crescimento em terras altas e terras baixas

Cited by 51 publications

References 12 publications

Climate and Management Factors Influence Soybean Yield Potential in a Subtropical Environment

Climate and Management Factors Influence Soybean Yield Potential in a Subtropical Environment

Estimated length of soybean phenological stages

Comparing tillage methods for growing lowland soybean and corn during wetter-than-normal cropping seasons

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