Tamanho de parcela e número de repetições para avaliação de caracteres vegetativos em centeio

Chaves, Gabriela Görgen; Filho, Alberto Cargnelutti; Carini, Fernanda; Kleinpaul, Jéssica Andiara; Neu, Ismael Mario Márcio; Procedi, Andréia

doi:10.5039/agraria.v13i3a5563

Cited by 6 publications

(9 citation statements)

References 19 publications

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“…The number of replicates varied between 3.95 and 32.27 (Tables 3 and 4), depending on the experimental design, the number of treatments (i), and the minimum differences (d). As already described [Cargnelutti Filho et al (2014a, 2020; Burin et al (2015); Chaves et al (2018); Lavezo et al (2018); and Toebe et al (2020aToebe et al ( , 2020b], the greater is the term i, and the lower is the d, the greater will be the number of replicates. In this sense, the use of five, six, seven, and eight replicates is sufficient to identify differences Table 1.…”

Section: Resultsmentioning

confidence: 84%

“…The number of replicates has been defined in scenarios formed by combinations of differences among means to be detected as significant by Tukey's test and the number of treatments, in an iterative process until convergence, according to the method described by Cargnelutti Filho et al (2014a). These two methods have been applied in experimental planning to determine the fresh weight of forage crops (Cargnelutti Filho et al, 2014a, 2020Burin et al, 2015;Chaves et al, 2018;Lavezo et al, 2018;Toebe et al, 2020b). These methods have been also applied for the determination of plot size and the number of replicates, to evaluate the fresh weight of broadcastseeded ryegrass (Toebe et al, 2020a).…”

Section: Introductionmentioning

confidence: 99%

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Plot size and number of replicates for ryegrass experiments sowed in rows

Toebe

Filho

Bandeira

et al. 2022

Pesq. agropec. bras.

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The objective of this work was to determine the optimal plot size and the number of replicates for the evaluation of the fresh weight of ryegrass sowed in rows. Seventy uniformity trials were performed with 'Barjumbo' ryegrass, in 16 basic experimental units (BEUs) of 0.51 m2 each. The fresh weight of ryegrass in the BEUs of 18, 18, 6, 6, and 22 uniformity trials was determined, respectively, at 130, 131, 133, 134, and 137 days after sowing. The optimal plot size was determined through the method of the maximum curvature of the coefficient of variation. The number of replicates was determined in scenarios formed by combinations of treatments and differences between means to be detected as significant by Tukey’s test, at 5% probabilit y. The optimal plot size ranged from 1.73 to 3.18 m2, and the variation coefficient in the optimal plot size from 7.58 to 13.96%. The number of replicates varied from 3.95 (~4) to 32.27 (~33), depending on the experimental design, the number of treatments, and the adopted minimum difference. The optimal plot size is 2.29 m2, and, in experiments with up to 50 treatments, eight replicates are required to identify as significant the differences between treatment means of 20.24%.

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Section: Resultsmentioning

confidence: 84%

Section: Introductionmentioning

confidence: 99%

Plot size and number of replicates for ryegrass experiments sowed in rows

Toebe

Filho

Bandeira

et al. 2022

Pesq. agropec. bras.

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“…In white oats the plot sizes for fresh and dry weight were 1.66 m 2 and 1.73 m 2 respectively (Lavezo et al, 2018). The optimal plot sizes to evaluate fresh and dry weight in rye were 3.43 m 2 and 3.82 m 2 respectively (Chaves et al, 2018b). To evaluate grain yield, the plot size for white oats was 1.57 m 2 (Lavezo et al, 2017) and for rye it was 6.08 m 2 (Chaves et al, 2018a).…”

Section: Resultsmentioning

confidence: 99%

“…The optimal plot size can be determined by the maximum curvature method of the model of the coefficient of variation (Paranaíba, Ferreira, & Morais, 2009), and the number of replications by the methodology described in Cargnelutti et al (2014). These two methodologies have been used to determine the optimal plot size and the number of replications to evaluate fresh weight in black oats (Cargnelutti et al, 2014) and millet (Burin et al, 2015 ;Burin, Cargnelutti, Alves, Toebe, & Kleinpaul, 2016), fresh and dry weight in white oats (Lavezo et al, 2018) and rye (Chaves et al, 2018b), and grain yield in white oats (Lavezo et al, 2017) and rye (Chaves et al, 2018a).…”

Section: Introductionmentioning

confidence: 99%

Plot size and number of replications in Sudan grass

Filho

Bandeira

Chaves

et al. 2020

SCA

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The aim of this study was to determine the optimal plot size and the number of replications to evaluate fresh weight in Sudan grass [Sorghum sudanense (Piper) Stapf.]. Twenty-six uniformity trials were carried out in two cultivars (BRS Estribo and CG Farrapo), in four sowing seasons (20 Dec, 20 Jan, 7 Feb and 24 Feb) and two methods for evaluating fresh weight (cutting and at flowering). The fresh weight was evaluated in 936 basic experimental units (BEU) (26 trials × 36 BEU per trial). One BEU comprised three rows of plants, 1 m in length (1.2 m2). The optimal plot size was determined using the maximum curvature method of the model of the coefficient of variation. For experiments in a completely randomised or randomised block design, in combinations of number of treatments and levels of experimental precision, the number of replications was determined by an iterative process. The optimal plot size to evaluate fresh weight in Sudan grass is 7.95 m2. Eight replications, to evaluate up to 50 treatments in a completely randomised or randomised block design, are sufficient to identify as significant at 0.05% probability by Tukey’s test, differences between the mean value of each treatment of 30.2% of the mean value of the experiment.

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“…The higher LOM contents found in the 10-20 cm layer in T5 and T6 may be due to the use of rye as soil cover plants. This plant has high capacity to generate dry matter (DM) (17 to 35 Mg ha -1 ) with high C/N, which improved the quantity of DM in the soil surface layer of the treatment T5 (Table 3) (Chaves et al, 2018). In addition, the rye root system is regularly renewed and tends to deposit organic material in deep soil layers (Loss et al, 2015).…”

Section: Light Organic Matter (Lom) Lom-c and Lom-n Contentsmentioning

confidence: 99%

Combinations of Plant Species for Rotation With Onion Crops: Effects on the Light Fraction, Carbon, and Nitrogen Contents in Granulometric Fractions of the Soil Organic Matter

Giumbelli¹,

Loss²,

Kürtz³

et al. 2021

JAS

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The conversion of conventional tillage system (CTS) into no-tillage system (NTS) for onion crops with use of soil cover crops increases carbon and nitrogen contents in the soil aggregates. The objective of this work was to evaluate the effects of combinations of different plant species and soil management systems using rotation with soil cover crops for onion crops on the light organic matter (LOM), carbon (C), and nitrogen (N) contents in the organic matter granulometric fractions in soil macroaggregates and bulk soil. A nine-year experiment (2007-2016) was conducted using the treatments (T): maize-onion in NTS (T1); soil cover crops (winter)-onion in NTS(T2); maize-winter grasses-onion in NTS (T3); velvet bean-onion in NTS (T4); millet-soil cover crops (winter)-onion in NTS (T5); velvet bean-rye-onion in NTS (T6); maize-onion in CTS (T7); intercropped soil cover crops (summer)-onion in NTS (T8). C and N contents in the LOM, particulate organic C and N (POC and PON), and mineral- associated C and N (MOC and MON) were evaluated in soil macroaggregates (8.0 to 2.0 mm) and bulk soil (<2.0 mm) from the 0–5 cm, 5–10 cm, and 10–20 cm layers. High diversity and combinations of plant species in T2-T6, and T8 resulted in higher POC and MON contents in aggregates, and higher MOC and PON contents in bulk soil, when compared to T1 and T7. T2 was a better option to increase LOM and POC contents in aggregates (0-5 cm). The evaluation of POC (0–5 cm), PON, and MON (0-10 cm) contents in soil aggregates showed more significant differences between the treatments than the contents found in bulk soil. The onion crops under NTS combined with use of rotations with soil cover crops were more efficient to improve the evaluated soil attributes than those under CTS.

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Tamanho de parcela e número de repetições para avaliação de caracteres vegetativos em centeio

Cited by 6 publications

References 19 publications

Plot size and number of replicates for ryegrass experiments sowed in rows

Plot size and number of replicates for ryegrass experiments sowed in rows

Plot size and number of replications in Sudan grass

Combinations of Plant Species for Rotation With Onion Crops: Effects on the Light Fraction, Carbon, and Nitrogen Contents in Granulometric Fractions of the Soil Organic Matter

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