scholarly journals Yield performance of oat cultivars in response to sowing dates and densities

2021 ◽  
Vol 42 (5) ◽  
pp. 2785-2800
Author(s):  
José Henrique Bizzarri Bazzo ◽  
◽  
Klever Márcio Antunes Arruda ◽  
Inês Cristina de Batista Fonseca ◽  
Claudemir Zucareli ◽  
...  
Keyword(s):  
Grain Yield ◽  
Yield Components ◽  
Block Design ◽  
Growing Season ◽  
Sowing Date ◽  
Yield Performance ◽  
Sowing Dates ◽  
Panicle Number ◽  
Oat Cultivars ◽  
Viable Seeds

Adjustment of seeding density oriented by genotype and conditions of the growing environment may favor growth, development and yield performance of the oat crop. This study aimed to evaluate the growth, lodging, yield components, and grain yield of oat cultivars grown at different sowing dates and densities. Two independent experiments were conducted at two sowing dates (May 5 and June 24) in Londrina-PR under a randomized block design in a 4 × 2 factorial scheme, with four replications. Treatments consisted of four sowing densities (180, 240, 300, and 360 viable seeds m−2) and two cultivars (IPR Afrodite and IPR Artemis). Plant height, number of panicles.m−2, number of spikelets per panicle, number of grains per spikelet, number of grains per panicle, thousand-grain weight, plant lodging, and grain yield were evaluated. The data were submitted to the analysis of joint variance for sowing dates, separately for the cultivars. The averages of sowing dates were compared by the F test and densities submitted to polynomial regression analysis up to 2nd degree, at 5% probability. The first sowing date favors most yield components and grain yield of the cultivars IPR Afrodite and IPR Artemis. In contrast, the number of panicles m−2 was reduced during this growing season for both cultivars. The late sowing date for the IPR Artemis cultivar resulted in a high percentage of lodging at all evaluated densities. However, this phenomenon is more intense at higher sowing densities during the first sowing date. Yield components and grain yield varied according to sowing dates and densities and the cultivar. The highest grain yield of the cultivar IPR Afrodite at the first sowing date was achieved with a lower sowing density than in the later date. However, the highest grain yield of the IPR Artemis cultivar was achieved at density of 280 viable seeds m−2, regardless of the growing season.

Sowing date affects yield components of canarygrass seed

2003 ◽  
Vol 83 (2) ◽  
pp. 357-362 ◽  
Author(s):  
J. L. Bodega ◽  
M. A. De Dios ◽  
M. M. Pereyra Iraola
Keyword(s):  
Seed Yield ◽  
Yield Components ◽  
Dry Matter ◽  
Developmental Stages ◽  
Block Design ◽  
Sowing Date ◽  
Growing Seasons ◽  
Sowing Dates ◽  
Four Blocks ◽  
Number Of Seeds

Canarygrass (Phalaris canariensis L.) crops are sown from June to mid-September in the southeastern area of the province of Buenos Aires, Argentina. Sowing dates in this range result in different growing temperatures and photoperiods that affect the duration of developmental stages, biomass production, and seed yield and its components. For Argentina, there are no reported studies that address these effects. This study on the effects of sowing date was conducted during four growing seasons (1996–1999) at the Instituto Nacional de Tecnologí a Agropecuaria (INTA) Experimental Station at Balcarce, Argentina, using a population provided by Dr. Jaime Lloveras, University of Leyda, Spain. Different seeding dates were chosen from June to mid-September. The experiment was a randomized complete block design with four blocks. When the sowing date was delayed, total dry matter (DM) decreased. For early sowing dates seed yield was constant, but after 10 August it was reduced by 1.5% for each day of delay. Earlier sowing increased the duration of pre-anthesis development with greater uniformity in panicle size and the number of seeds. Seed yield was related lin early to the number of seeds and plant dry matter yield (DMY). The rate of progress from emergence to anthesis (1/days from emergence to anthesis) was proportional to the mean photoperiod. Under the environmental conditions in Balcarce, the accumulated required thermal units for anthesis was reduced when sowing was delayed from June to September. This reduction was related to the photoperiod and was estimated as –189.3 growing degree-days per hour of photoperiod increment. Key words: Canarygrass, seed yield, sowing date, yield components

Sowing Dates of Wheat in Northern Sudan

1977 ◽  
Vol 13 (4) ◽  
pp. 401-407 ◽  
Author(s):  
A. Galil ◽  
A. Gabar Ahmed
Keyword(s):  
Grain Yield ◽  
Yield Components ◽  
Unit Area ◽  
Sowing Date ◽  
Grain Weight ◽  
Sowing Time ◽  
Varietal Differences ◽  
Planting Time ◽  
Sowing Dates

SUMMARYThe effect of sowing time and variety were tested for three consecutive years under irrigated conditions. The relation between yield and planting time was quadratic, best described by y=a+bx-ex2 where y is grain yield and x is planting time. The results showed that, irrespective of variety, the optimum sowing date is around mid-November. Varietal differences are related to number of ears per unit area, with a stronger association of yield with grain weight than with any other yield components.

scholarly journals Effects of Sowing Date on Physiological Characteristics, Yield and Yield Components for Different Maize (Zea mays L.) Hybrids

2017 ◽  
Vol 9 (1) ◽  
pp. 143-147
Author(s):  
Amir Taher RAH KHOSRAVANI ◽  
Cyrus MANSOURIFAR ◽  
Seyed Ali Mohammad MODARRES SANAVY ◽  
Kamal Sadat ASILAN ◽  
Hamed KESHAVARZ
Keyword(s):  
Grain Yield ◽  
Yield Components ◽  
Block Design ◽  
Dry Weight ◽  
Sowing Date ◽  
Physiological Characteristics ◽  
Potential Productivity ◽  
Maize Hybrids ◽  
Significant Difference ◽  
Yield And Yield Components

In order to determine the effects of sowing date on physiological characteristics, yield and yield components of six sweet maize hybrids, an experiment was arranged in split plot based complete randomized block design with three replications. Sowing date in two levels (15 June and 1 July) and sweet maize hybrids in six variants (‘Chase’, ‘Temptation’, ‘Challenger’, ‘Basin’, ‘Obsession’ and ‘Ksc403su’) were the treatments. Results of ANOVA revealed significant difference of sowing date and sweet maize hybrids on the number of days for tassel emergence, number of days to anthesis, plant height, cob height, stem diameter, plant dry weight, cob dry weight, number of grain rows, length flowers, number of leaf above the cob, raffinose content of grain and grain yield. Mean comparisons showed that the highest grain yield was obtained for ‘Basin’ variety and it was obtained from the crop established on the 15th of June as planting date. In temperate regions, maize potential productivity seems to be more limited by the amount of solar radiation available around silking (determinant of grain set) than during grain filling (determinant of grain weight).

scholarly journals The response of corn (Zea mays L.) cultivars to row spacing under weed interference condition

2018 ◽  
Vol 111 (3) ◽  
pp. 525
Author(s):  
Gholamreza MOHAMMADI ◽  
Mehdi NOOKANI ◽  
Hamidreza MOHAMMADDOUST ◽  
Danial KAHRIZI
Keyword(s):  
Grain Yield ◽  
Yield Components ◽  
Block Design ◽  
Seed Mass ◽  
Growing Season ◽  
Dry Mass ◽  
Row Spacing ◽  
Corn Yield ◽  
Weed Interference ◽  
Corn Grain

<p>This study was carried out in order to study the response of corn cultivars to row spacing and weed interference at the Research Farm of Agricultural and Natural Resources Faculty, Razi University, Kermanshah, Iran in 2011. The experiment was a split block factorial based on a randomized complete block design with three replications. Factors consisted of three corn cultivars ('KSC 704', 'Simon' and 'Maxima') and three plant row spacings (45, 60 and 75 cm) under weeded and un-weeded conditions for all of the growing season. Results indicated that for all three corn cultivars, the highest weed dry mass occurred in the row spacing of 75 cm. Weed interference throughout the growing season reduced corn grain yield by 20 %. This condition also significantly decreased corn yield components except the 100-seed mass. Increasing plant row spacing increased weed density, while decreased corn yield by 16.5 %. Corn cultivars were significantly different in terms of the number of seed per ear and 100-seed mass, as 'KSC 704' and 'Simon' showed the highest values for these yield components, respectively. However, the number of ear per plant and grain yield were not significantly different between the corn cultivars under study.</p>

scholarly journals Makarnalık Buğdayda (Triticum Durum L.) Bölünerek Verilen Üst Gübre Uygulamalarının Verim ve Verim Komponentleri Üzerine Etkisi

2021 ◽  
Vol 9 (11) ◽  
pp. 2041-2048
Author(s):  
Arzu Mutlu
Keyword(s):  
Grain Yield ◽  
Plant Height ◽  
Yield Components ◽  
Triticum Durum ◽  
Block Design ◽  
Wheat Variety ◽  
Growing Season ◽  
Spike Length ◽  
Randomized Complete Block Design ◽  
The World

This research was conducted with durum wheat variety (Alatay) at farmer conditions in Bozova district of Şanlıurfa province in 2018-19 and 2019-20 growing season according to a randomized complete block design with three replications. This study was conducted to determine the effect of dividing the top fertilizer in different development periods of wheat on grain yield and some yield factors (plant height, spike length, number of grains per spike, grain weight per spike) in order to struggle the drought experienced due to global warming in the world and in our country. According to the research results, it was determined that grain yield, plant height, spike length, number of grains per spike, weight of grains per spike ranged from 347.50-648.33 kg/da, 78.16-98.33 cm, 6.28-6.91 cm, 32.00 number/spike and 64.16 number/spike 2.47 gr/spike and 2.77 gr/spike respectively. The aim of the experiment is to determine how the top-dressing is divided and how the plant benefits from the moisture and nitrogen fertilizer in the soil and how it affects the grain yield and yield components of the plant.

scholarly journals Thermal and radiation effect studies of different wheat varieties in Chhattisgarh plains zone under rice-wheat cropping system

MAUSAM ◽  
2021 ◽  
Vol 67 (3) ◽  
pp. 677-682
Author(s):  
J. L. CHAUDHARY ◽  
S. R. PATEL ◽  
N. MANIKANDAN ◽  
RAJESH KHAVSE ◽  
P. K. VERMA
Keyword(s):  
Grain Yield ◽  
Block Design ◽  
Wheat Variety ◽  
Cropping System ◽  
Sowing Date ◽  
Wheat Crop ◽  
Sowing Time ◽  
Wheat Varieties ◽  
Randomized Block Design ◽  
Sowing Dates

Field experiment was conducted during Rabi seasons of 2010-11, 2011-12 and 2012-13 at Research and Instructional Farm of Indira Gandhi Krishi Vishwavidyalaya, Raipur to examine and study the phenology, accumulation of growing degree days (GDD), heliothermal units (HTU), photothermal unit (PTU) and performance of wheat (Triticum aestivam L.) of four wheat varieties grown under five different sowing dates in factorial Randomized Block Design. It was observed that GDDs got reduced significantly with subsequent delay in sowing time. For our study purpose and as per package of practices, 25 November D1 can be taken as early sowing and D2 - 5 December as timely sowing conditions.  The wheat varieties Amar and Sujata took highest GDD, HTU and PTU to maturity.  On the mean basis the variety Kanchan produced highest grain yield (3147 kg/ha) followed by GW-273 (2947 kg/ha).  The significant reduction in grain yield was recorded when sowing was delayed beyond D2 - December 05.  Among the wheat varieties Kanchan showed better performance in terms of RUE followed by GW-273 and Sujata. Highest HUE was observed in wheat variety Kanchan followed by Sujata and GW-273. Varieties giving higher yield, RUE and HUE are identified under varying growing environments so as to suggest the appropriate sowing dates of wheat varieties in Chhattisgarh plains. GDD is giving consistent results as its variability is least varying between 3.4-5.3 per cent for different varieties and therefore it is reliable index for studying environmental effects on wheat in this region. Lowest RUE was observed under 5 January sowing (D5) in the all varieties which leads to conclusion that this sowing date must be avoided and wheat crop sowing must be completed latest by 25 December to avoid adverse effects on productivity.       

scholarly journals Canola agronomic performance in three sowing dates in Jataí-GO

2020 ◽  
Vol 36 ◽  
Author(s):  
Raissa Macedo Assis ◽  
Flavia Andrea Nery Silva ◽  
Luciana Celeste Carneiro ◽  
Givanildo Zildo da Silva ◽  
Simério Carlos Silva Cruz ◽  
...  
Keyword(s):  
Grain Yield ◽  
Block Design ◽  
Seedling Emergence ◽  
Sowing Date ◽  
Agronomic Performance ◽  
Brassica Napus L ◽  
Phenological Data ◽  
Survival Index ◽  
Randomized Block Design ◽  
Sowing Dates

Canola (Brassica napus L. var oleifera) is a potential crop due to the growing world demand for vegetable oil. This work aims to evaluate the performance of five canola hybrids in three sowing dates in Jataí-GO. The experiment was conducted in the year of 2017, in a randomized block design, with subdivided plots and four replications. Plots were composed by three sowing dates (03/03, 03/10 and 03/17) and subplots by the canola hybrids Hyola 50, Hyola 61, Hyola 433, Hyola 571CL and Hyola 575CL. Seedling emergence, inicial and final plant population, flowering, maturation, plant height, plant survival index and grain yield were evaluated. The thermal sum calculation was performed with the phenological data. Results were submitted to analysis of variance and means were compared by Scott Knott test at 5% of probability. The plants survival index highlighted Hyola 433, Hyola 571CL and Hyola 575CL hybrids. Grain yield varied according to hybrid and sowing date. In the edaphoclimatic conditions of this study, in the year of 2017, the best agronomic performance was observed in the first sowing date for the canola hybrids Hyola 433 and Hyola 575CL and in the second sowing date for the canola hybrid Hyola 571CL.

scholarly journals Effect of growth regulators and sowing date on the agronomic performance of corn hybrids in the first cropping year

2019 ◽  
Vol 40 (6Supl2) ◽  
pp. 2861
Author(s):  
André Prechlak Barbosa ◽  
Claudemir Zucareli ◽  
José Henrique Bizzarri Bazzo ◽  
Luis Abilio Ribeiro Alves ◽  
Renan Iastrenski
Keyword(s):  
Grain Yield ◽  
Leaf Area ◽  
Growth Regulators ◽  
Block Design ◽  
Sowing Date ◽  
Grain Weight ◽  
Index Number ◽  
Corn Hybrids ◽  
Yield Performance ◽  
Area Index

Growth regulators can be an important tool in corn crop management, especially in technology-intensive crops grown in densified spatial arrangements, under favorable environmental conditions, and using genotypes with greater vegetative development. The objective of this study was to evaluate the effect of growth regulators associated with sowing date on the growth characteristics, yield components, and grain yield of first-crop corn hybrids. The experiment was performed on a 2014/15 field crop, under a randomized complete block design with four replicates. Treatments were placed in a 2 × 2 × 3 factorial arrangement consisting of two sowing dates (first: 09/19/2014 and second: 11/23/2014), two corn hybrids (2B610PW and 2B810PW), and three conditions of growth regulators (control without application, 400 g a.i. ha-1 trinexapac-ethyl, and 200 g a.i. ha-1 clomazone, both applied when six fully expanded leaves were observed). The following characteristics were evaluated: plant height, ear insertion height, stem diameter, leaf area index, number of rows per ear, number of grains per row, number of grains per ear, ear length, ear diameter, prolificacy, thousand grain weight, and grain yield. Corn development and yield performance were altered by the interaction between sowing date, genotypes, and growth regulators. The second sowing date, which was not limited by water deficiency, resulted in better development and yield performance for the two hybrids. The 2B610 hybrid had a higher yield performance than did 2B810 in the second sowing date. Trinexapac-ethyl and clomazone contributed to higher corn grain yield from the two hybrids at the first sowing date and from the 2B810 hybrid at the second date. Trinexapac-ethyl reduced the size of the 2B810 hybrid at the second date. The growth and leaf area of the 2B810 hybrid were less affected by the restrictive conditions of the first sowing date; consequently, there was a higher grain weight performance that did not allow the differentiation of yield between genotypes for this sowing date.

scholarly journals Effect of Sowing Dates on Yield and Yield Components of Some Selected Chickpea (Cicer arietinum L.) Varieties

2021 ◽  
pp. 9-15
Author(s):  
Adinew Getachew ◽  
Thomas Abraham
Keyword(s):  
Grain Yield ◽  
Yield Components ◽  
Agricultural Practices ◽  
Sowing Date ◽  
Cropping Season ◽  
Sowing Dates ◽  
Yield And Yield Components ◽  
Biological Yield ◽  
High Yielding Varieties ◽  
Main Effects

Most suitable sowing date and high yielding varieties are the primary agricultural practices to enhance production and productivity of chickpea. Hence, a field experiment was carried out to evaluate the effect of sowing dates on yield and yield components of chickpea varieties in the main cropping season of 2019 at Toke Kutaye, Ethiopia. Treatments consisted of four sowing dates (September 4th, September 14th, September 24th, and October 5th) and four kabuli varieties of chickpea; namely Dube (standard check), Dalota, Teji and Ejere. The experiment was laid out in split plot design using factorial arrangement with three replications where sowing date treatments were assigned to the main plots and varieties to sub plots. Dalota variety produced the highest number of pods (79.7) per plant. the main effects of sowing date and varieties were significantly different on biological yield. Highest biological yield (3776.9 kg ha-1 and 3761 kg ha-1) were recorded from September 24th and September 14th sown plots, respectively. Among varieties tested, the highest biological yield (3723.8 kg ha-1) was obtained from local variety. Highest grain yield (2415.4 kg ha-1) was recorded from plots sown on September 14th whereas Dalota variety produced highest grain yield (2051.25 kg ha-1). In case of harvest index, highest (67.9% and 59.6%) was recorded from September 14th sown plots and Dalota variety, respectively. Therefore, Dalota variety and September 14th sowing date emerged as best among all tested treatments and could be recommended for chickpea production in the study area.

Rainfall, sowing time, soil type, and cultivar influence optimum plant population for wheat in Western Australia

2004 ◽  
Vol 55 (9) ◽  
pp. 921 ◽  
Author(s):  
W. K. Anderson ◽  
D. L. Sharma ◽  
B. J. Shackley ◽  
M. F. D'Antuono
Keyword(s):  
Grain Yield ◽  
Soil Type ◽  
Yield Components ◽  
Regression Tree ◽  
Growing Season ◽  
Sowing Date ◽  
Plant Population ◽  
Plant Populations ◽  
Optimum Population ◽  
Growing Conditions

In this paper we analyse existing experimental data (grain yield and yield components) from seed rate experiments on wheat in Western Australia, with the aims of determining which factors most influence the optimum plant population, and advancing some practical guidelines for improving the choice of seed rate under rain-fed conditions. Experiments (32) were conducted in the rain-fed cropping zone of Western Australia between 1996 and 2001, using factorial combinations of wheat cultivars (3–25) and target plant populations (4 or 5). Some of them also contained treatments of nitrogen fertiliser (0 or 40 kg/ha of N) or sowing times (2). Each cultivar × plant population dataset (248) was considered to be a record for the sake of the subsequent analyses. Actual plant numbers were counted in each experiment and the optimum plant population was estimated when the slope of an inverse polynomial curve (choosing the most appropriate of the LDL and QDL models in GenStat) fitted to each record was 2.5 kg/ha of grain yield for each extra plant/m2. The optimum populations were initially grouped using a regression tree technique into groups with similar characteristics using pre-sowing rainfall, rainfall in the growing season, sowing date, and soil type. The variables cultivar and nitrogen fertiliser rate were later added to the regression tree analysis. Yield components available for most experiments were used as an aid to interpretation of the results. The optimum plant population varied from 35 to 175 plants/m2 and average grain yields varied from 0.42 to 3.91 t/ha. Rainfall in the growing season (sowing date to harvest date) provided the first split in the regression tree, but pre-sowing rainfall (January to sowing date), sowing date, and soil type further modified the optimum population. The addition of N fertiliser rate as a variable in the regression tree did not induce any different groupings of the optimum population sets, but cultivars were grouped into 4 response types according to pre- and post-sowing rainfall amounts. Where rainfall in the growing season was <205 mm, improved growing conditions due to more pre-sowing rainfall, earlier sowing, and more seasonal rainfall, were associated with higher optimum plant populations. Where rainfall in the growing season exceeded 205 mm, higher pre-sowing rainfall was associated with lower optimum populations. The optimum population was greater on sands than on clay loams. However, on sandy loam soils the optimum was less where rainfall in the growing season was <291 mm, or more for crops sown after 27 May at rainfall >291 mm. Increases in yield components in response to improved growing conditions above about 400 culms/m2, 300 ears/m2, 10 000 kernels/m2, and 600 g/m2 of dry matter at anthesis were not associated with higher optimum plant populations. In general, the optimum plant population increased at about 40 plants/m2 for each tonne of grain yield up to about 3.0 t/ha. The effect of cultivar on the optimum population appeared at yield levels above 2.5 t/ha, but was only detectable when the rainfall in the growing season exceeded 205 mm. Growing conditions and cultivars associated with lower weight per ear (due to fewer kernels and/or lower kernel weight) were associated with higher optimum plant population when the rainfall in the growing season exceeded 205 mm. It is suggested that farmers can make better estimates of the appropriate plant population (and hence can calculate seed rate) on the basis of pre-sowing rainfall (likely stored water), rainfall zone (probability of rainfall in the growing season), sowing date, soil type, and characteristics of individual cultivars where known.

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