Molecular-marker-facilitated studies of morphological traits in maize. II: Determination of QTLs for grain yield and yield components

1994 ◽  
Vol 89 (4) ◽  
pp. 451-458 ◽  
Author(s):  
L. R. Veldboom ◽  
M. Lee
Keyword(s):  
Molecular Marker ◽  
Grain Yield ◽  
Yield Components ◽  
Morphological Traits ◽  
Yield And Yield Components

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.

Sign in / Sign up

Export Citation Format

Share Document