Determination of Adequate Plot Size by Use of Mean Distance between Salt Desert Shrubs

1968 ◽  
Vol 13 (1) ◽  
pp. 61
Author(s):  
Neil E. West ◽  
Mustafa M. Baasher
Keyword(s):  
1992 ◽  
Vol 8 (2) ◽  
pp. 185-189 ◽  
Author(s):  
G. Couger ◽  
B. N. Wilson ◽  
C. T. Rice
Keyword(s):  

2021 ◽  
pp. 41-50
Author(s):  
Jeniffer Ribeiro De Oliveira ◽  
Jalille Amim Altoé ◽  
Gleison Oliosi ◽  
Alex Silva Lima ◽  
Luã Víthor Chixaro Almeida Falcão Rosa ◽  
...  
Keyword(s):  

Bothalia ◽  
1981 ◽  
Vol 13 (3/4) ◽  
pp. 575-576
Author(s):  
B. M. Campbell ◽  
E. J. Moll
Keyword(s):  

DETERMINATION OF PLOT SIZE


Ecology ◽  
1959 ◽  
Vol 40 (4) ◽  
pp. 644-651 ◽  
Author(s):  
C. Wayne Cook ◽  
L. A. Stoddart ◽  
Lorin E. Harris

2016 ◽  
Vol 38 (2) ◽  
Author(s):  
EDILSON ROMAIS SCHMILDT ◽  
OMAR SCHMILDT ◽  
COSME DAMIÃO CRUZ ◽  
LAERCIO FRANCISCO CATTANEO ◽  
GERALDO ANTÔNIO FERREGUETTI

ABSTRACT The aim of this study was to estimate the optimum plot size and number of replications in papaya field experiments. Eleven variables were evaluated in four cultivars of papaya with planting in different seasons between 2011 and 2013 in the north of the Espírito Santo state. Analysis were made from blank test applied to 240 selected for planting season and cultivate plants in commercial fields. The determination of optimum plot size was performed by applying the methodologies of modified maximum curvature and maximum curvature of coefficient of variation. The determination of the number of repetitions was taken from the least significant difference in average 20% and 30%. The optimum plot size proved the same by the two methods studied for most evaluations. The optimum size required differs among cultivars, between variables and between planting seasons, with the largest number of plants was required for the variables number of fruits per plant and yield per plant. We conclude that the optimal number of papaya plants planted in the field is six plants per plot using three replications.


2020 ◽  
Vol 42 (1) ◽  
Author(s):  
Glaucia Amorim Faria ◽  
Beatriz Garcia Lopes ◽  
Ana Patrícia Bastos Peixoto ◽  
Antonio Flávio Arruda Ferreira ◽  
Kátia Luciene Maltoni ◽  
...  

Abstract The determination of the plot size is a practical matter pertinent to the experimental planning, and its optimal characterization allows to obtain higher precision and better quality in the results. Therefore, in this study, the main goal was to determine the plot size in experiments of passion fruit in two uniformity tests with Passiflora setacea and Passiflora alata. The experiment was constituted of a substrate at planting with 3 thirds of soil and 1 of barnyard manure. The soil was fertilizer with 3 kg of simple superphosphate and 0.5 kg of KCl by 1m³. Each species of Passiflora was considered a uniformity test with 40 basic units (BU). The evaluations of the experiments were done on 60 days after the transplant, noticing the tree’s height, stem’s diameter, number of leaves, number of buds, number of meristems and chlorophyll. Several plot sizes were simulated, in which each plant was first considered as a basic unit up to 40 plants per unit basic. For the estimation of optimum plot size, the maximum modified curvature method was used. The plot sizes varied with the specie, founding values as three to seven BU for Passiflora setacea and four BU to five for Passiflora alata.


2017 ◽  
Vol 4 (1) ◽  
Author(s):  
RAMESH CHANDRA BHARATI ◽  
KAUSHAL KISHOR CHAUDHARY ◽  
ANIL KUMAR SINGH ◽  
ABHAY KUMAR ◽  
UJJWAL KUMAR ◽  
...  

The optimum plot size is required at the time of experiment lay out to obtain the accuracy and reliability of the experimental result. In absence of uniformity trail, an alternative procedure is described to get the idea of optimum plot size. The process involves for determining the accurate estimate of soil heterogeneity coefficient followed by optimum plot size through the past experimental data of split plot design and the expression for the determination of soil heterogeneity has been derived and illustrated through several artificial and real data. The result indicated the considerable gain in efficiency to the tune of 19 and 22 per cent in some cases. This procedure leads to the saving of plot size from 20 per cent to 75 per cent.


1979 ◽  
Vol 32 (4) ◽  
pp. 280 ◽  
Author(s):  
Steven G. Richardson ◽  
Jerry R. Barker ◽  
Kent A. Crofts ◽  
Gordon A. Van Epps

2018 ◽  
Vol 9 (2) ◽  
pp. 252-263
Author(s):  
André Lavezo ◽  
Alberto Cargnelutti Filho ◽  
Bruna Mendonça Alves ◽  
Denison Esequiel Schabarum ◽  
Daniela Lixinski Silveira ◽  
...  

The determination of the optimum plot size in agricultural crops is important for obtaining accurate inferences in the treatments in question. This study aimed at determining the optimum plot size (Xo) and the number of replications to evaluate the fresh matter (FM) and the dry matter (DM) of oat and at verifying the variability of Xo among cultivars and sowing dates. Ninety-six uniformity trials of 3×3 m were performed and each assay was divided into 36 basic experimental units (BEU) of 0.5×0.5 m. The 96 uniformity trials were distributed in four cultivars and three sowing dates. At the flowering stage, FM and DM were determined in each BEU. Then, the Xo was determined in each uniformity assay, using the maximum curvature method of the coefficient of variation model. In oat, there is variability of Xo among cultivars and sowing dates to measure FM and DM. For the four cultivars on the three sowing dates, the Xo of 1.66 m2 and of 1.73 m2 are suitable to evaluate FM and DM, respectively. Four replications to evaluate the maximum of 50 treatments in completely randomized design and randomized blocks design are sufficient so that the differences among treatment means of 44.75% of the experiment mean may be significant, using the Tukey test at 5% probability to measure FM and DM in oat.


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