scholarly journals Response of Yield and Yield Components of Tef [Eragrostis tef (Zucc.) Trotter] to Tillage, Nutrient, and Weed Management Practices in Dura Area, Northern Ethiopia

2014 ◽  
Vol 2014 ◽  
pp. 1-9 ◽  
Author(s):  
Gebreyesus Brhane Tesfahunegn
Keyword(s):  
Grain Yield ◽  
Weed Control ◽  
Yield Components ◽  
Scientific Information ◽  
Interaction Effects ◽  
The Other ◽  
Eragrostis Tef ◽  
Northern Ethiopia ◽  
Leaf Stage ◽  
Yield And Yield Components

The low average grain yield (0.7 ton ha−1) of tef in Ethiopia is mainly attributed to low soil fertility, and inappropriate tillage and weeds control practices. Despite this, limited scientific information has been documented so far on their interaction effects on tef crop productivity in northern Ethiopia. The objective of this study was to assess the separate and interaction effects of tillage, fertilizer, and weed control practices on tef yield and yield components in the conditions of northern Ethiopia. A two-year study (2008-2009) was conducted using split-split-plot design with three replications. In the main plot, three tillage treatments: conventional tillage (6 times tillage passes) (T1), four times tillage passes (T2), and reduced tillage (single tillage pass at sowing) (T3) were applied. The fertilizer treatments in the subplots were: no fertilizer (F1); 23 kg N ha−1 (F2); 23 kg N ha−1 and 10 kg P ha−1 (F3); 23 kg N ha−1 and 2.5 ton manure ha−1 (F4); and 2.5 ton manure ha−1 (F5). The sub-subplot weed control treatments included farmer weed control practice or hand weeding (W1); 2,4 D at 0.75 kg ha−1 at five-leaf stage; 2,4 D at 0.75 kg ha−1 at six-leaf stage; 2,4 D at 1.5 kg ha−1 at five-leaf stage; and 2,4 D at 1.5 kg ha−1 at six-leaf stage. This study showed that the separate and interaction effects of tillage, fertilizer, and weed control practices significantly affected tef crop yield and yield components in both crop seasons. T2 increased tef yield by >42% over the other tillage and F3 increased yield by >21% over the other fertilizer treatments. Grain yield increased by >23% due to W1. This study thus suggested that promising treatments such as T2, F3, and W1 should be demonstrated at on-farm fields in order to evaluate their performance at farmers’ conditions.

scholarly journals Influence of Nitrogen Fertilizer Rates and Varieties on Growth, Grain Yield and Yield Components of Tef [Eragrostis tef (Zucc.) Trotter]

2020 ◽  
Vol 5 (5) ◽  
Author(s):  
Hayelom Berhe ◽  
Ashagrie Zewdu ◽  
Kebebew Assefa
Keyword(s):  
Grain Yield ◽  
Yield Components ◽  
Block Design ◽  
Kernel Weight ◽  
Point Of View ◽  
Eragrostis Tef ◽  
Economic Point ◽  
Yield And Yield Components ◽  
N Rates ◽  
Fertilizer Rates

A field experiment was conducted to assess the influence of N fertilizer rates on growth, grain yield and yield components of Tef [Eragrostis tef (Zucc.) Trotter], in 2017 main cropping season. Three tef varieties (Kora, Boset and Asgori) and five Nitrogen rates (0, 30, 60, 90 and 120kg N ha-1) were used in Randomize Completed Block Design with three replications with the same dose of Triple Super Phosphate. The total and productive tiller number were highly (P<0.01) significantly affected by varieties. The control plot had maximum days to heading and this may be due to nitrogen fixation may exist and its availability may be deficient in the soil. The less response to the N rate may be due to variability of fertility or soil N content, and genetically difference between varieties. From means of varieties, the early flowerings of Boset and Asgori varieties were 101.4 and 103.79 days to maturity, respectively, but Kora (108.9 days) was late matured. Kora had maximum plant height (135.9cm) and panicle length (56.07cm) followed by Boset (115.1cm) and (42.49cm) respectively. The lodging index was affected by N rates and Kernel weight was highly significantly (P<0.01) affected only by varieties. The highest mean of thousand kernel weight (0.3387) was noted from Asgori variety. The grain yield was decreased with N rates and a better grain yield was obtained at 60-90kg N ha-1. Overall N rates indicated that, both Kora (1800) and Boset (1883) had a better grain yield in kg ha-1, but Asgori had lowest grain yield (1560kg ha-1). Based on the economic point of view, it would be more profitable to use 60kg N ha-1 N rates.

Effect of weeds and nitrogen fertiliser on yield and grain protein concentration of wheat

1996 ◽  
Vol 36 (4) ◽  
pp. 443 ◽  
Author(s):  
MG Mason ◽  
RW Madin
Keyword(s):  
Grain Yield ◽  
Weed Control ◽  
Dry Matter ◽  
Protein Concentration ◽  
The Other ◽  
Grain Protein ◽  
Dry Matter Yield ◽  
Wheat Grain ◽  
Grain Protein Concentration ◽  
Nitrogen Fertiliser

Field trials at Beverley (19911, Salmon Gums (1991; 2 sites) and Merredin (1992; 2 sites), each with 5 rates of nitrogen (N) and 3 levels of weed control, were used to investigate the effect of weeds and N on wheat grain yield and protein concentration during 1991 and 1992. Weeds in the study were grasses (G) and broadleaf (BL). Weeds reduced both vegetative dry matter yield and grain yield of wheat at all sites except for dry matter at Merredin (BL). Nitrogen fertiliser increased wheat dry matter yield at all sites. Nitrogen increased wheat grain yield at Beverley and Merredin (BL), but decreased yield at both Salmon Gums sites in 1991. Nitrogen fertiliser increased grain protein concentration at all 5 sites-at all rates for 3 sites [Salmon Gums (G) and (BL) and Merredin (G)] and at rates of 69 kg N/ha or more at the other 2 sites [Beverley and Merredin (BL)]. However, the effect of weeds on grain protein varied across sites. At Merredin (G) protein concentration was higher where there was no weed control, possibly due to competition for soil moisture by the greater weed burden. At Salmon Gums (G), grain protein concentration was greater when weeds were controlled than in the presence of weeds, probably due to competition for N between crop and weeds. In the other 3 trials, there was no effect of weeds on grain protein. The effect of weeds on grain protein appears complex and depends on competition between crop and weeds for N and for water at the end of the season, and the interaction between the two.

scholarly journals Evaluation of Urea Super Granule as a Source of Nitrogen in Transplant Aman Rice

2014 ◽  
Vol 24 (1-2) ◽  
pp. 29-37 ◽  
Author(s):  
TA Qurashi ◽  
MA Salam ◽  
M Jannat ◽  
MG Rabbani
Keyword(s):  
Grain Yield ◽  
Yield Components ◽  
Block Design ◽  
Prilled Urea ◽  
Randomized Complete Block Design ◽  
Yield And Yield Components ◽  
Use Efficiency ◽  
Experimental Treatments ◽  
N Management ◽  
1000 Grain Weight

An experiment was carried out at Bangladesh Agricultural University, Mymensingh to evaluate the effect of urea super granule (USG) as a source of nitrogen on the yield and yield components of transplant Aman rice cv. BRRI dhan39, BRRI dhan46 and BINA dhan7. Five levels of N (viz., 0, 60, 120 kg ha-1 as prilled urea and 60 and 120 kg ha-1 as USG) were taken as experimental treatments. The experiment was laid out in a randomized complete block design with three replications. Plant height, effective tillers hill-1, grains panicle-1 and grain yield varied significantly due to different cultivars. All the yield and yield components except 1000-grain weight were influenced significantly by the levels of nitrogen fertilizer. The highest grain yield (4.82 t ha-1) was recorded in BINA dhan7 and the lowest one (4.30 t ha-1) was recorded in BRRI dhan39. Nitrogen @ 120 kg ha-1 as USG performed the best among the treatments in respect of yield and yield components of rice. The highest grain yield (5.46t ha-1) was obtained from BINA dhan7 with 120 kg N ha-1 as USG which was statistically identical with 60 kg N ha-1 as USG. A considerable amount (31.25%) of prilled urea (PU) nitrogen could be saved by using USG. It may be concluded that USG could be used as N management to achieve better nitrogen use efficiency in reducing N loss than the PU.DOI: http://dx.doi.org/10.3329/pa.v24i1-2.19095 Progress. Agric. 24(1&2): 29 - 37, 2013

scholarly journals Effect of Variety and Weed Management Practices on Yield and Yield Attributes of Wheat

2013 ◽  
Vol 5 (2) ◽  
pp. 91-96
Author(s):  
MR Sultana ◽  
MA Alim ◽  
MB Hossain ◽  
S Karmaker ◽  
MS Islam
Keyword(s):  
Natural Resources ◽  
Grain Yield ◽  
Weed Management ◽  
Yield Components ◽  
Management Practices ◽  
Yield Attributes ◽  
Free Treatment ◽  
Yield And Yield Components ◽  
Hand Weeding ◽  
Plot Design

An experiment was conducted at Agronomy Field Laboratory of Rajshahi University to evaluate the effect of variety and weeding regime on yield and yield components of wheat. Four varieties viz. Prodip -V1, Gourab -V2, Shatabdi -V3, Bijoy -V4 and five weeding regime viz. a) No weeding -W0, b) Weed free -W1, c) One hand weeding at 20 DAS -W2, d) Two hand weeding (1st at 20 DAS and 2nd at 42 DAS) -W3 and e) Lintur 70 WG @ 250 g ha-1 -W4 were included as treatments in the experiment. The experiment was laid out in a Split-plot Design with three replications. The results revealed that Prodip produced the highest grain yield (5.33 t ha-1) followed by Gourab (4.85 t ha-1), while the lowest grain yield (3.98 t ha-1) was obtained from Shatabdi. The highest grain yield (5.09 t ha-1) was obtained in Weed free (W1) followed by W3 (Two hand weeding) (4.89 t ha-1) and the lowest grain yield (4.13 t ha-1) was obtained in no weeding treatment (W0). The highest grain yield (5.64 t ha-1) was obtained from the combination of Prodip and weed free treatment (V1W1) and the lowest (3.57 t ha-1) was obtained from the combination between Shatabdi and no weeding treatment (V4W0).DOI: http://dx.doi.org/10.3329/jesnr.v5i2.14800 J. Environ. Sci. & Natural Resources, 5(2): 91-96 2012

scholarly journals Genetic distance among mungbean germplasm pertaining to grain yield and yield components

2020 ◽  
Vol 8 (4) ◽  
pp. 2045-2050
Author(s):  
CH Santhi Priya ◽  
D Ratna Babu ◽  
A Prasanna Rajesh ◽  
N Hari Satyanarayana ◽  
V Manoj Kumar ◽  
...  
Keyword(s):  
Grain Yield ◽  
Genetic Distance ◽  
Yield Components ◽  
Yield And Yield Components

scholarly journals ASSOCIATION BETWEEN GRAIN YIELD AND YIELD COMPONENTS OF MAIZE DURING INBREEDING SYSTEM.

2017 ◽  
Vol 5 (3) ◽  
pp. 2202-2207
Author(s):  
Prashanth M. ◽  
◽  
Kajjidoni S.T. ◽  
Keyword(s):  
Grain Yield ◽  
Yield Components ◽  
Yield And Yield Components

scholarly journals GRAIN YIELD AND YIELD COMPONENTS OF WINTER BARLEY

2017 ◽  
Vol 63 (1) ◽  
Author(s):  
Vera DjEKIC ◽  
Vera POPOVIC ◽  
Snezana BRANKOVIC ◽  
Dragan TERZIC ◽  
Nenad DjURIC
Keyword(s):  
Grain Yield ◽  
Yield Components ◽  
Winter Barley ◽  
Yield And Yield Components

scholarly journals Determination relevant breeding criteria by the path and factor analysis in maize

Genetika ◽  
2014 ◽  
Vol 46 (1) ◽  
pp. 49-58 ◽  
Author(s):  
Milomir Filipovic ◽  
Milosav Babic ◽  
Nenad Delic ◽  
Goran Bekavac ◽  
Vojka Babic
Keyword(s):  
Factor Analysis ◽  
Grain Yield ◽  
Path Analysis ◽  
Yield Components ◽  
Genetic Material ◽  
Grain Moisture ◽  
Yield And Yield Components ◽  
Two Factors ◽  
Yield Factor ◽  
Statistic Approach

In the process of plant breeding the application of relevant breeding criteria is very important. The Path analysis is broadly applied with the aim to define yield components that mostly determine the yield and that can be used as quality breeding criteria. However, the significance of revealed relationships between yield and yield components can be affected by various factors, such as diverse genetic material that is observed, traits included into analysis, environments in which the material is observed, as well as, the applied statistic approach to determine the nature of the relationships itself. The interrelationships of yield and yield components of 15 commercial maize hybrids were observed using the Path and factor analyses. According to results of Path analysis, plant height, ear diameter and grain moisture had highly significant genetic and phenotypic direct effects on grain yield. At the same time, factor analysis points out significant effects of two factors on grain yield. Factor 1 was mostly determined by ear length and number of kernels per row, while grain moisture content, ear and cob diameter mostly determined Factor 2.

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