The Effects of Shade Tree Types on Light Variation and Robusta Coffee Production in Vietnam

Long, Nguyen Van Duc; Ngoc, Nguyen Quang; Dung, Nguyen Ngoc; Kristiansen, Paul; Yunusa, Isa; Fyfe, Chris

doi:10.4236/eng.2015.711015

Cited by 13 publications

(8 citation statements)

References 25 publications

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“…Prior experiments report that longer maturity hybrids (110 d, 113 d, and 115 d) were more sensitive to delayed planting date (June) than short and medium season maturity hybrids (Swanson & Wilhelm, 1996). This supports our findings where 100 d and 105 d maturity groups showed the highest yield when planted on June 6 (Figure 3) In a recent synthesis conducted, it was reported that for locations such as Nebraska that lies between 40–45° N, longer maturity groups showed reduced yield when planted after May 15, similar to what was found in our study (Long, Ngoc, Dung, & Kristiansen, 2015). The modeling results align with the field studies conducted across Nebraska where delayed planting beyond mid‐May resulted in reduced corn yields (Bastidas., 2017; Kucharik, 2008).…”

Section: Discussionsupporting

confidence: 92%

Simulating winter rye cover crop production under alternative management in a corn‐soybean rotation

et al. 2020

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The Agricultural Production Systems sIMulator (APSIM) was used to evaluate two alternative approaches for extending the cover crop growing window into corn (Zea mays L.) and soybean (Glycine max L.) crop rotations in Nebraska, USA. We evaluated how: (i) shifting corn planting dates (mid-April to early-June) and (ii) altering comparative relative maturity (CRM) corn hybrids (80 to 115 days) influence cover crop biomass and corn yields over a 30-year period. The APSIM model was tested using experimental data and was then used to simulate a range of cover crop planting and termination scenarios. Our results showed no significant yield differences within the same corn relative maturity when planted on April 20 and May 13 but that yield declined when planted in June. During a six week fall cover crop planting window (September 15-October 31), every day before October 31 that the cover crop was planted resulted in additional 62 kg ha −1 of biomass. We also simulated a one month spring termination window (April 1-April 30) and, every day delay in cover crop termination resulted in per day additional 35 kg ha −1 of biomass. Cover crop biomass accrual was highly dependent on weather, where for identical fall planting dates, a warm wet season accrued approximately four times more biomass than a cool dry season. Although we found significant yield differences between early, medium and late season CRMs, earlier fall cover crop planting associated with either earlier spring corn planting or planting an early to medium season variety leads to tenfold greater cover biomass. Delayed corn planting by mid-May had no yield penalty relative to April planting, and could facilitate four-fold greater cover crop biomass (cover crop terminated April 30 instead of April 1). Our results demonstrate that earlier cover crop planting in fall or later cover crop termination in spring can result in significantly more biomass which can be balanced with yield goals.

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Section: Discussionsupporting

confidence: 92%

Simulating winter rye cover crop production under alternative management in a corn‐soybean rotation

et al. 2020

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“…Without the remaining variables, a plant with the highest NIB would be estimated to have the highest yield, as in the case of LS and MS for genotype 12V (Table 2). Long et al (2015), studied the effect of shade tree in robusta coffee production in Vietnam, and observed that there were no differences in the number of flowers per branch between shaded and unshaded coffee sites.…”

Section: Productive Parameters and Grain Yieldmentioning

confidence: 99%

“…Alves et al (2016), working with robusta coffee production under shade and full sun in Rondônia state, Brazil, verified that shaded and full sun productivity did not differ significantly, with higher variance in the former, showing that shaded systems are more heterogeneous. Long et al (2015) studying the effect of shade tree in robusta coffee production in Vietnam, observed that there were no differences in the number of and fruit set between shaded and unshaded coffee sites.…”

Section: Productive Parameters and Grain Yieldmentioning

confidence: 99%

Vegetative growth and yield of robusta coffee genotypes cultivated under different shading levels

Venâncio¹,

Amaral²,

Cavatte³

et al. 2019

Biosci. J.

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The growing in shaded systems is one of the strategies adopted to mitigate the impacts of climate change on coffee trees. However, there are few studies about the effect of shading on the growth and production of clones of robusta coffee (Coffea canephora). Besides that, exist a paradigm in Brazil of that the shading in coffee robusta is synonymous of less yield. Thus, the aim of this work was to evaluate whether C. canephora genotypes subjected to shading increase their yield and growth vegetative under field conditions. The study was performed between September 2013 and July 2017 (four harvests) in Alegre, Espírito Santo state, Brazil. Three genotypes of cultivar Conilon Vitória -Incaper 8142 were evaluated (03V, 06V, and 12V) and four levels of shade: full sunlight (witness) and, low, moderate and, high shade, with 38, 48 and, 68% of real capacity of shade, respectively. The shade was performed using black polyolefin screens; plants growing in full sunlight were only fenced. The tested shade levels affected the growth rate and yield of Robusta coffee plants. The shading caused a greater leaf expansion as compared to the full sunlight, as well as greater etiolation of the plagiotropic and orthotropic branches. The genotype 06V was shown to be responsive to shading, with a statistically equal production independently of shade level. The low, moderate, and high shade levels affected negatively the yield of genotypes 03V and 12V. The shading can improve the yield of Robusta coffee, in this case, of the genotype 06V of the cultivar Conilon Vitória -Incaper 8142. The success of shaded plantations depends the choice of the shade responsive genotypes and appropriate shading level. of cafe Robusta, directing in the development of new studies with this objective. ACKNOWLEDGEMENTSThis study was financed in part by the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior -Brasil (CAPES) -Finance Code 001, by Conselho Nacional de Desenvolvimento Científico e Tecnológico -Brasil (CNPq), and by Fundação de Amparo à Pesquisa e Inovação do Espírito Santo -Brasil (FAPES). RESUMO:O cultivo em sistemas sombreados é uma das estratégias adotadas para mitigar os impactos da mudança climática sobre os cafeeiros. No entanto, existem poucos estudos sobre o efeito do sombreamento no crescimento e produção de clones de café robusta (Coffea canephora). Além disso, existe um paradigma no Brasil de que o sombreamento nesta espécies é sinônimo de menor rendimento. Assim, o objetivo do presente trabalho foi avaliar se os genótipos de C. canephora submetidos ao sombreamento aumentam sua produtividade e crescimento vegetativo em condições de campo. O estudo foi realizado entre setembro de 2013 e julho de 2017 (quatro safras) em Alegre, Espírito Santo, Brasil. Três genótipos da cultivar Conilon Vitória -Incaper 8142 foram avaliados (03V, 06V e 12V) e quatro níveis de sombreamento: pleno sol (testemunha) e baixo, moderado e alto nível de sombreamento, com 34, 48 e 68% de capacidade real de sombreamento, respectivamente, obtidos com o uso d...

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“…Shade trees regulate the humidity of coffee plants and improve water retention and nutrients in the deeper soil horizon. The shade tree also restricts light and radiating (Van Long et al 2015), regulates the temperature, and limits the destruction of soil texture (Perfecto et al 1996). Besides, deep-rooted trees do not compete with the coffee for water and other nutrients.…”

Section: Shade Treesmentioning

confidence: 99%

Toward Sustainability or Efficiency: The Case of Smallholder Coffee Farmers in Vietnam

et al. 2019

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This study attempts to uncover the truth behind an increasing number of smallholder farmers participating in sustainable coffee farming in Vietnam. Using stochastic frontier and cost-benefit analysis, a sample of 316 smallholder farmers in Dak Lak was chosen to analyze the economic impacts of sustainable and conventional coffee farming on farmers’ welfare. In addition, we conducted field observation and key informant interviews to describe several farming practices. The results highlight the fact that farmers’ decisions to participate in sustainable coffee farming are mainly driven by economic benefits. Sustainable farming is more cost-effective and profitable than conventional farming, despite the insignificant difference in production efficiency. Improvement of education, farming knowledge, and collective actions could mitigate negative effects of small-scale production for sustainable coffee farmers. Pesticide management, shade coffee encouragement, and reduction of excessive fertilization, over-irrigation, and unproductive coffee varieties are recommended for sustainable development of the sector.

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The Effects of Shade Tree Types on Light Variation and Robusta Coffee Production in Vietnam

Cited by 13 publications

References 25 publications

Simulating winter rye cover crop production under alternative management in a corn‐soybean rotation

Simulating winter rye cover crop production under alternative management in a corn‐soybean rotation

Vegetative growth and yield of robusta coffee genotypes cultivated under different shading levels

Toward Sustainability or Efficiency: The Case of Smallholder Coffee Farmers in Vietnam

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