scholarly journals Effect of water deficit and sowing date on oil and protein contents in soybean co-inoculated with Azospirillum brasilense

2021 ◽  
Vol 51 ◽  
Author(s):  
Alessandra Maria de Lima Naoe ◽  
Joênes Mucci Peluzio ◽  
Leonardo José Motta Campos ◽  
Lucas Koshy Naoe ◽  
Evandro Reina

ABSTRACT The soybean chemical composition is strongly influenced by genetic factors, as well as their interaction with the environment and management practices. Among the environmental factors, water deficit and temperature are those that most contribute to modify the chemical composition of beans, especially oil and protein contents. The present study aimed to assess the effects of co-inoculation with Azospirillum brasilense on soybean oil and protein contents. Two field experiments were carried out on different sowing dates. The design consisted of randomized blocks, in a split-split-plot arrangement, with four replications, including two irrigation depths (25 % and 100 % of the ETc), two inoculation methods [Bradyrhizobium japonicum (strains Semia 5079 and Semia 5080) and Azospirillum brasilense (strains AbV5 and AbV6 + Bradyrhizobium japonicum)] and two cultivars (ANTA 82 and TMG 132). The co-inoculation did not affect the oil and protein contents of beans for any of the assessed management conditions. The water deficit in the reproductive stage, combined with the sowing dates, altered the oil and protein contents in both the assessed cultivars, showing, respectively, a higher average protein and oil content in the beans for the cultivars TMG 132 and ANTA 82.

Author(s):  
Alessandra M. de L. Naoe ◽  
Joênes M. Peluzio ◽  
Leonardo J. M. Campos ◽  
Lucas K. Naoe ◽  
Roberta A. e Silva

ABSTRACT This study aimed to verify the effect of co-inoculation, association between Azospirillum brasilense and Bradyrhizobium japonicum bacteria, on soybean plants subjected to water deficit at two sowing dates. Two field experiments were conducted at the Universidade Federal de Tocantins, campus of Palmas, Brazil, in 2016. The experimental design was randomized blocks in a split-split-plot arrangement with four repetitions, where the plots consisted of two irrigation depths (100 and 25% of crop evapotranspiration - ETc), the subplots was composed of two methods of inoculant application (inoculation with Bradyrhizobium japonicum and co-inoculation with Azospirillum brasilense + Bradyrhizobium japonicum) and the sub-subplots comprised two soybean cultivars (TMG 132 and ANTA 82). The cultivars responded differently to the sowing dates. Co-inoculation did not influence grain yield under full irrigation conditions (100% ETc), in neither cultivar evaluated. However, under the water deficit condition (25% ETc), the grain yield of the cultivar TMG 132 increased 77.20%, indicating that there are different responses of interaction between Azospirillum brasilense, plant genotype and sowing dates.


2019 ◽  
Vol 34 (2) ◽  
pp. 335-347 ◽  
Author(s):  
Maria Carolina da Silva Andrea ◽  
Rivanildo Dallacort ◽  
João Danilo Barbieri ◽  
Rafael Cesar Tieppo

Abstract Climate change promotes variations in climatic elements necessary for crop growth and development, such as temperature and rainfall, potentially impacting yields of staple crops. The objective of this study was to assess future climate projections, derived from Intergovernmental Panel on Climate Change, and their impacts on second season maize in a region of Mato Grosso state. Field experiments in the 15/16 season comprising different sowing dates and hybrids maturities in rainfed conditions were used for crop model adjustment and posterior simulation of experiments. Crop simulations comprised historical (1980-2010) and future (2010-2100) time frames combined with local crop management practices. Results showed decreases of 50-89% in grain yields, with the most pessimistic scenarios at the latest sowing date at the end of the century. Decreases in the duration of crop cycle and in the efficiency of water use were observed, indicating the negative impacts of projected higher temperatures and drier conditions in crop development. Results highlight the unfeasibility of practicing late sowing dates in second season for maize in the future, indicating the necessity of adjusting management practices so that the double-cropping production system is possible.


Author(s):  
L. S. Sampaio ◽  
R. Battisti ◽  
M. A. Lana ◽  
K. J. Boote

Abstract Crop models can be used to explain yield variations associated with management practices, environment and genotype. This study aimed to assess the effect of plant densities using CSM-CROPGRO-Soybean for low latitudes. The crop model was calibrated and evaluated using data from field experiments, including plant densities (10, 20, 30 and 40 plants per m2), maturity groups (MG 7.7 and 8.8) and sowing dates (calibration: 06 Jan., 19 Jan., 16 Feb. 2018; and evaluation: 19 Jan. 2019). The model simulated phenology with a bias lower than 2 days for calibration and 7 days for evaluation. Relative root mean square error for the maximum leaf area index varied from 12.2 to 31.3%; while that for grain yield varied between 3 and 32%. The calibrated model was used to simulate different management scenarios across six sites located in the low latitude, considering 33 growing seasons. Simulations showed a higher yield for 40 pl per m2, as expected, but with greater yield gain increments occurring at low plant density going from 10 to 20 pl per m2. In Santarém, Brazil, MG 8.8 sown on 21 Feb. had a median yield of 2658, 3197, 3442 and 3583 kg/ha, respectively, for 10, 20, 30 and 40 pl per m2, resulting in a relative increase of 20, 8 and 4% for each additional 10 pl per m2. Overall, the crop model had adequate performance, indicating a minimum recommended plant density of 20 pl per m2, while sowing dates and maturity groups showed different yield level and pattern across sites in function of the local climate.


2018 ◽  
Vol 47 (4) ◽  
pp. 291-297 ◽  
Author(s):  
Parisa Nazeri ◽  
Amir Hossein Shirani Rad ◽  
Seyed Alireza ValadAbadi ◽  
Mojtaba Mirakhori ◽  
Esmaeil Hadidi Masoule

To investigate the effects of sowing dates and late season water deficit stress on quantitative and qualitative traits of different canola cultivars, a 2-year field experiment was carried out in the 2014–2015 and 2015–2016 growing seasons. The experimental factors consisted of sowing date at two levels (7th and 27th October), irrigation at two levels (full irrigation and irrigation termination at silique formation stage) and four German canola cultivars including Trapper, Makro, Smilla, and Agamax. The results indicated that the main effects of sowing date, irrigation, and cultivar were significant on all studied characteristics except for harvest index. The interaction between sowing date and irrigation was also statistically significant on silique number per plant, oil percentage, linolenic acid, and erucic acid percentage. The results demonstrated that seed yield and its components oil percentage and oil yield, as well as oleic and linoleic acid percentage, decreased when sowing date was delayed until 27th October. Due to irrigation termination, all the studied traits decreased except for linolenic and erucic acid. Seed yield also decreased. The results suggest that to improve seed and oil yield, canola should be sown on 7th October and fully irrigated until physiological maturity stage in the study area.


1957 ◽  
Vol 48 (4) ◽  
pp. 447-456 ◽  
Author(s):  
E. S. Bunting ◽  
L. A. Willey

Between 1953 and 1955 a series of field experiments have been carried out in Great Britain to assess the effect of sowing date on the extent and the rate of emergence of a number of varieties of maize.The range of sowing dates was from late March till May. Records were kept of the soil temperatures, these will be reported later, and in certain experiments the water content of the soil was maintained at field capacity. In all experiments a northern flint variety and a southern dent variety were sown, in the first year only flint × dent hybrids were also grown.There was an increase in final emergence with the later sowing dates. The northern flint varieties were superior to the southern dent varieties, while the flint × dent hybrids occupied an intermediate position. The lower final emergence of the southern dent variety was most marked at the earlier sowing dates.Differences between varieties in the speed of emergence, taken as the number of days from sowing until half of the surviving seedlings had emerged, was observed at several centres. The open-pollinated varieties usually emerged more slowly than the flint × dent hybrids. There was a very marked difference between early- and late-sowing dates in speed of emergence.It was possible in the second year to compare seed of high quality with that of low quality as determined by the ‘cold test’ of germination capacity. The lowquality seed gave greatly reduced final emergence, the experiments stressing the need for the adoption of a standard ‘cold test’ for maize seed, especially of that intended for sowing in north-western Europe.The high final emergence of the northern flint varieties suggest that a gene source for resistance to soil pathogen attack is readily available. The possibilities in north-western Europe for expansion of growing grain maize would be greatly strengthened by development of varieties capable of growth at low temperatures. The experiments suggest that until such varieties are available little advantage in time of emergence will be gained by sowing maize before late April in Britain.


Plant Disease ◽  
2006 ◽  
Vol 90 (3) ◽  
pp. 365-374 ◽  
Author(s):  
Blanca B. Landa ◽  
Juan A. Navas-Cortés ◽  
María del Mar Jiménez-Gasco ◽  
Jaacov Katan ◽  
Baruch Retig ◽  
...  

Use of resistant cultivars and adjustment of sowing dates are important measures for management of Fusarium wilt in chickpeas (Cicer arietinum). In this study, we examined the effect of temperature on resistance of chickpea cultivars to Fusarium wilt caused by various races of Fusarium oxysporum f. sp. ciceris. Greenhouse experiments indicated that the chickpea cultivar Ayala was moderately resistant to F. oxysporum f. sp. ciceris when inoculated plants were maintained at a day/night temperature regime of 24/21°C but was highly susceptible to the pathogen at 27/25°C. Field experiments in Israel over three consecutive years indicated that the high level of resistance of Ayala to Fusarium wilt when sown in mid- to late January differed from a moderately susceptible reaction under warmer temperatures when sowing was delayed to late February or early March. Experiments in growth chambers showed that a temperature increase of 3°C from 24 to 27°C was sufficient for the resistance reaction of cultivars Ayala and PV-1 to race 1A of the pathogen to shift from moderately or highly resistant at constant 24°C to highly susceptible at 27°C. A similar but less pronounced effect was found when Ayala plants were inoculated with F. oxysporum f. sp. ciceris race 6. Conversely, the reaction of cultivar JG-62 to races 1A and 6 was not influenced by temperature, but less disease developed on JG-62 plants inoculated with a variant of race 5 of F. oxysporum f. sp. ciceris at 27°C compared with plants inoculated at 24°C. These results indicate the importance of appropriate adjustment of temperature in tests for characterizing the resistance reactions of chickpea cultivars to the pathogen, as well as when determining the races of isolates of F. oxysporum f. sp. ciceris. Results from this study may influence choice of sowing date and use of chickpea cultivars for management of Fusarium wilt of chickpea.


2002 ◽  
Vol 53 (10) ◽  
pp. 1155 ◽  
Author(s):  
I. Farré ◽  
M. J. Robertson ◽  
G. H. Walton ◽  
S. Asseng

Canola is a relatively new crop in the Mediterranean environment of Western Australia and growers need information on crop management to maximise profitability. However, local information from field experiments is limited to a few seasons and its interpretation is hampered by seasonal rainfall variability. Under these circumstances, a simulation model can be a useful tool. The APSIM-Canola model was tested using data from Western Australian field experiments. These experiments included different locations, cultivars, and sowing dates. Flowering date was predicted by the model with a root mean squared deviation (RMSD) of 4.7 days. The reduction in the period from sowing to flowering with delay in sowing date was accurately reproduced by the model. Observed yields ranged from 0.1 to 3.2 t/ha and simulated yields from 0.4 to 3.0 t/ha. Yields were predicted with a RMSD of 0.3–0.4 t/ha. The yield reduction with delayed sowing date in the high, medium, and low rainfall region (3.2, 6.1, and 8.6% per week, respectively) was accurately simulated by the model (1.1, 6.7, and 10.3% per week, respectively). It is concluded that the APSIM-Canola model, together with long-term weather data, can be reliably used to quantify yield expectation for different cultivars, sowing dates, and locations in the grainbelt of Western Australia.


2020 ◽  
pp. 108-118
Author(s):  
Olha Matsera

It is made the comparison estimation of winter rapeseed quality properties depending on the fertilization level and sowing date in this article. The literature on the research problem is elaborated; there are presented the study importance and relevance of growing technology elements influence on the quality properties of winter rapeseed seeds. It is analyzed the results of sowing periods and different rates of mineral fertilizers influence on the quality indicators of winter rapeseed seeds under the conditions of Right-Bank Forest-Steppe in Ukraine. Significant influence of the studied elements of technology on the main indicators of seed quality was noted; it was found that the change in the yield level obtained by the hybrids led to a change in the oil quality indices. Four the most important oil quality indicators were analyzed in this article. They are: acid value, glucosinolates amount, oil and protein contents. They were affected by different fertilizer rates and sowing dates, which were the experiment conditions. So, the lowest acid value – 1.08 provided hybrid Excel, when fertilizer rate was N240P120K24; when sowing dates were analyzed, the lowest indicator – 1.24 was obtained by Exagon hybrid in the first sowing date – 10th of Aug. the correlation between acid value and rapeseed yield was negative and oscillated from r = - 0.9327 to r = - 0.9843; the magnitude of the approximation reliability oscillated in the range of R2 = 0.87 – 0.97, which evidence the strong dependence between indicators. The lowest content of glucosinolates – 12.51 μmol / g had Excel hybrid under the conditions without fertilizers; when sowing dates were analyzed, the lowest indicator 15.06 μmol / g was obtained by Exagon hybrid in the first sowing date – 10th of Aug. The highest oil content had Excel hybrid – 46.27%, it was obtained in variant of N240P120K240. The protein content of each hybrid was increasing with fertilizer rates expansion. So, the highest indicator of it was obtained in the variant where N240P120K240 was used and it was Exagon – 22.10%. The highest protein content – 21.13% was obtained by Excel hybrid in the second sowing date – the 21st of Aug. when sowing dates were analyzed, and the highest oil content – 46.75% were obtained by Excel hybrid in the third sowing date – 5th of Sept. Key words: winter rapeseed, sowing dates, fertilizers, acid value, glucosinolates amount, oil and protein contents.


1992 ◽  
Vol 118 (3) ◽  
pp. 271-278 ◽  
Author(s):  
E. J. M. Kirby

SUMMARYThe number of leaves formed on the main shoot of a wheat plant is an important developmental feature, and a method of predicting this is essential for computer simulation of development.A model function was used to estimate vernalization from simulated sowing dates throughout a season. When expressed in terms of thermal time, it was estimated that a plant might be fully vernalized soon after seedling emergence or take up to about 1000 °Cd, depending on sowing date. When the simulated progress of vernalization was related to main shoot development (primordium initiation and leaf emergence) it was found that there were substantial differences between sowings in the rate of vernalization at comparable stages of apex development.A number of field experiments done in Britain from 1980 to 1984 with prominent commercial varieties, sown at various times from September to March, were analysed in terms of the thermal time to full vernalization and the photoperiod at the time of full vernalization, with vernalization simulated by the model function. In both winter and spring varieties, both of these variables significantly affected the number of main shoot leaves. Multiple linear regression using these two variables accounted for between 70 and 90% of the variance in leaf number, depending on variety.


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