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.

scholarly journals Yield and yield components of wheat as affected by phosphorus fertilization

2015 ◽  
Vol 41 ◽  
pp. 21-27 ◽  
Author(s):  
M. S. Alam ◽  
I. Jahan
Keyword(s):  
Grain Yield ◽  
Plant Height ◽  
Yield Components ◽  
Agricultural Extension ◽  
Control Treatment ◽  
Phosphorus Fertilization ◽  
Wheat Varieties ◽  
Yield And Yield Components ◽  
Two Factors ◽  
Different Levels

The experiment was conducted at the Agronomy Field laboratory, Department of Agronomy and Agricultural Extension, University of Rajshahi to study the yield and yield components of wheat as affected by phosphorus fertilization. The experiment consisted of two factors i.e. (i) three wheat varieties viz., Shatabdi, Bijoy and Prodip and (ii) five levels of phosphorus viz. 0, 30, 60, 90, 120 kg P2O5 ha-1. A RCBD design was used for the experiment with three replications. The effect of variety was significant on all the yield components and yield except plant height. Prodip gave the highest grain yield (3.67 t ha-1) followed by Bijoy (3.45 t ha-1) and Shatabdi (3.28 t ha-1). Yield and yield components of wheat were significantly influenced by different levels of phosphorus. The highest grain yield (4.47 t ha-1) was recorded from P4 (120 kg P2O5 ha-1) and the lowest one (2.43 t ha-1) from the control treatment. The highest grain yield (4.80 t ha-1) was obtained from Prodip at 120 kg P2O5 ha-1 and the lowest one (2.3 t ha-1) was found in Shatabdi at control treatment. The results suggest that the combination of V3P4 (Prodip with 120 kg P2O5 ha-1) is the best for obtaining higher yield of wheat.

scholarly journals Improving Performances of Late Transplant Aman Rice Through Spacing and Nutrient Management Options

2020 ◽  
Vol 23 (1) ◽  
pp. 1-11
Author(s):  
RM Foysal ◽  
B Karmakar ◽  
MAR Sarkar ◽  
AKMH Akther ◽  
S Akhter ◽  
...  
Keyword(s):  
Grain Yield ◽  
Yield Components ◽  
Nutrient Management ◽  
Block Design ◽  
Poultry Manure ◽  
Organic Fertilizers ◽  
Management Options ◽  
Inorganic Fertilizers ◽  
Yield And Yield Components ◽  
Two Factors

Crop and nutrient management options could improve the yield performances of late transplant Aman rice which is generally lower compared to optimum transplanting. To address these issues, an experiment was conducted at Bangladesh Agricultural University, Mymensingh to investigate the effect of spacing and nutrient management options on yield and yield components of late transplant Aman rice and to find out the better treatment combination to obtain higher yield. The experiment was laid out in two factors randomized complete block design (RCBD) with three replications consisting of three spacings viz. S1 =25 cm×15 cm , S2 =25 cm×10 cm and S3 =20 cm×10 cm; and eight nutrient management options viz. N0 = Control (No fertilizer), N1 = Poultry manure @ 5 t ha-1 , N2 = Vermicompost @ 3 t ha-1 , N3 = Researcher’s practice (Urea, TSP, MoP, Gypsum and ZnSO4 @ 180,75,105, 60 and 7.5 kg ha-1, respectively), N4 = 75% N3 + Poultry manure @ 2.5 t ha-1, N5 = 50% N3+ poultry manure @ 5 t ha-1, N6 = 75% N3+ Vermicompost @ 1.5 t ha-1 and N7 = 50% N3+ Vermicompost @ 3 t ha-1. Pre-germinated seeds of BRRI dhan46 were sown in wet nursery bed on 16 August and 30–d–old seedlings were transplanted as per treatments on 15 September in 2017. Yield and yield components were significantly influenced by spacing, nutrient management options and their interactions. The highest yield (5.20 t ha-1) was obtained the spacing 25 cm×10 cm which was at par with 25 cm×15 cm (5.12 t ha-1) and the lowest (4.88 t ha-1) was in 20 cm×10 cm. Statistically similar grain yield 5.85, 5.81 and 5.79 t ha-1 were produced in the treatments N3, N4 and N6, respectively. Grain yield increased in the treatments having combination of inorganic and organic nutrient, and also in the optimum inorganic fertilizers (researcher’s practice). The highest grain yield (5.98 t ha-1) was obtained in the interaction S2×N3 which was at par with S1 x N3, S1 x N4, S1 x N6, S2 x N4 and S2 x N6. Performances of sole organic fertilizers were not satisfactory level. Therefore, reduced amount (75%) of inorganic fertilizers combined with organic fertilizers (poultry manure 2.5 t ha-1 or vermicompost 1.5 t ha-1) along with closer spacing 25 cm×10 cm would be recommended to achieve better and sustainable yield performance of late transplant Aman rice cv. BRRI dhan46. Bangladesh Agron. J. 2020, 23(1): 1-11

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 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
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