Different methods to assess yield temporal stability in rubber

Gouvêa, Lígia Regina Lima; Silva, Guilherme Augusto Peres da; Scaloppi, Erivaldo José; Gonçalves, Paulo de Souza

doi:10.1590/s0100-204x2011000500006

Cited by 9 publications

(9 citation statements)

References 19 publications

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“…Entretanto, as diversas teorias para avaliar a adaptabilidade e a estabilidade das cultivares dificultam quanto à escolha do modelo estatístico a utilizar (Franceschi et al, 2010;Gouvêa et al, 2011). Diversos estudos comprovaram a eficiência da técnica biplot no entendimento da IGA (Yan & Rajcan, 2002;Lee et al, 2003;Oliveira et al, 2003;Pacheco et al, 2009;Camargo-Buitrago et al, 2011).…”

Section: Introductionunclassified

Épocas de semeadura e desempenho agronômico de cultivares de soja

Meotti

Benin

Silva

et al. 2012

Pesq. agropec. bras.

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Resumo -O objetivo deste trabalho foi avaliar o efeito de épocas de semeadura no desempenho agronômico de cultivares de soja em São Domingos, SC, e indicar as cultivares mais estáveis e adaptadas a cada época. O experimento foi conduzido durante dois anos agrícolas (2008/2009 e 2009/2010), com seis cultivares e quatro épocas de semeadura (15/10, 15/11, 15/12 e 15/1), em delineamento experimental de blocos ao acaso, com três repetições e parcelas com área útil de 3,6 m². A metodologia AMMI (modelos de efeitos principais aditivos com interação multiplicativa) foi utilizada para avaliar o desempenho produtivo das cultivares, e a GGE (genótipo e interação genótipo x ambiente) para avaliar a adaptabilidade e a estabilidade das cultivares nas diferentes épocas de semeadura. Em ambos os anos agrícolas, as semeaduras em 15/10 e 15/11 maximizaram o número de vagens por planta, o número de grãos por vagem, a estatura das plantas, o número de ramos, a massa de mil sementes e, consequentemente, a produtividade de grãos. As cultivares de ciclo médio ou precoce com porte elevado são mais adequadas para semeaduras tardias.Termos para indexação: Glycine max, AMMI, GGE biplot, interação genótipo x ambiente, produtividade de grãos. Sowing dates and agronomic performance of soybean cultivarsAbstract -The objective of this work was to evaluate the effect of sowing dates on the agronomic performance of soybean cultivars in São Domingos, SC, Brazil, and to indicate stable and adapted cultivars for each sowing date. The experiment was carried out during two crop years (2008/2009 and 2009/2010), using six cultivars and four sowing dates (10/15, 11/15, 12/15, and 1/15), in a randomized complete block design, with three replicates and a usable plot area of 3.6 m 2 . The AMMI (additive main effects and multiplicative interaction analysis) method was used to evaluate the yield performance of the cultivars, and the GGE (genotype and genotype-by-environment) method to evaluate the adaptability and stability of the cultivars in each sowing date. In both crop years, the sowings on 10/15 and 11/15 maximized the number of pods per plant, the number of grains per pod, plant height, the number of branches, the weight of a thousand seeds, and, consequently, grain yield. Medium or early cycle cultivars, with high plant height, are more adequate for late sowing.Index terms: Glycine max, AMMI, GGE biplot, genotype x environment interaction, grain yield. IntroduçãoA soja [Glycine max (L.) Merril] é o principal cultivo no oeste catarinense, onde ocupa aproximadamente 216 mil hectares, o que corresponde a 61% da área cultivada com a cultura no estado (Síntese anual da agricultura de Santa Catarina, 2010). Nesta região, os riscos climáticos e os preços relativamente baixos na comercialização do trigo têm levado ao cultivo da soja em épocas não recomendadas.A soja tem sido semeada precocemente para viabilizar o cultivo de milho safrinha. Além disso, temse observado a semeadura da soja safrinha, instalada em sucessão à cultura do milho (Peixoto et al., 2000...

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Section: Introductionunclassified

Épocas de semeadura e desempenho agronômico de cultivares de soja

Meotti

Benin

Silva

et al. 2012

Pesq. agropec. bras.

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“…Recently, several methods were used simultaneously to evaluate genotypes and production environments of different crops (Silva and Duarte 2006, Cargnelluti Filho et al 2007, Melo et al 2007, Silva Filho et al 2008, Pereira et al 2009, Guerra et al 2010, Nunes et al 2011, Gouvêa et al 2011). However, the AMMI has seldom been used together with the GGE Biplot in studies on sugarcane.…”

Section: Introductionmentioning

confidence: 99%

Evaluation of sugarcane genotypes and production environments in Paraná by GGE biplot and AMMI analysis

Mattos

Oliveira

Filho

et al. 2013

Crop Breed. Appl. Biotechnol.

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- of GGEBiplot is the definition of an ideal genotype (G) and environment (E), serving as reference for the evaluation of genotypes and choice of environments with greater GE interaction. Both models indicated RB006970, RB855156 and RB855453 as the genotypes with highest TSH and São Pedro do Ivai as the environment with the greatest GE interaction. Both approaches explained a high percentage of the sum of squares, with a slight advantage of AMMI over GGE Biplot analysis.

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“…In the rubber tapping operation, the worker holds a sharp tapping knife to cut the bark. Precise manual work is needed to ensure a consistent yield of this perennial (Gouvêa et al, 2011). Workers focus on avoiding cutting too deep to harm the trees and meanwhile avoiding damaging themselves.…”

Section: Introductionmentioning

confidence: 99%

Design, development, and field evaluation of a rubber tapping robot

Zhou

Zhang

et al. 2021

Journal of Field Robotics

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Modern robotics has made great strides in the field of agricultural harvesting. In the field of rubber tapping, however, there are still significant challenges to be faced. As one of the few agricultural harvesting areas primarily manual, rubber tapping requires precise control of the knife in the forest's unstructured environment at night. This paper presents the design of a rubber cutting robot for natural rubber plantations. An upgraded spatial spiral trajectory is established by analyzing the trunk and manual rubber cutting trajectories for the operation of a six‐axis tandem robot arm. A compact binocular stereo vision system achieved the initial perception of the parameters required for the cutting trajectory. Besides, an integrated end‐effector was developed to enable further precise perception of the cutting trajectory and cutting operations. The system was tested in the field at a rubber plantation in Hainan Province. The upgraded trajectory's adaptability and the accuracy and efficiency of the starting point positioning algorithm were verified. The operational performance of the complete system was evaluated to help guide future improvements. The error of the start point locating is 1.0 ± 0.1 mm, and the execution time is 17.01 ± 3.65 s. The bark consumption—cutting depth setting of (2.0 and 5.0 mm) is more appropriate for the rubber tapping robot. Then the accuracy of chip thickness and chip width is about 1.73 ± 0.28 mm, and 5.07 ± 0.13 mm, respectively. Furthermore, the accuracy of chip weight is 1.99 ± 0.24 mm. The average operating time of the whole tapping operation is 80 ± 5 s. Future work will include improvements in system stiffness and robustness. This study demonstrates the potential of applying industrial robotics to the field of latex harvesting. Robotics may be a future development towards mechanized rubber tapping.

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Different methods to assess yield temporal stability in rubber

Cited by 9 publications

References 19 publications

Épocas de semeadura e desempenho agronômico de cultivares de soja

Épocas de semeadura e desempenho agronômico de cultivares de soja

Evaluation of sugarcane genotypes and production environments in Paraná by GGE biplot and AMMI analysis

Design, development, and field evaluation of a rubber tapping robot

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