• No results found

Phenotypic correlation and path coefficient analysis in rice (oryza sativa l ) introgression lines under drought and controlled conditions

N/A
N/A
Protected

Academic year: 2020

Share "Phenotypic correlation and path coefficient analysis in rice (oryza sativa l ) introgression lines under drought and controlled conditions"

Copied!
6
0
0

Loading.... (view fulltext now)

Full text

Loading

Figure

Table 2a: Estimates of phenotypic correlation coefficient between different characters in rice genotypes under drought conditions
Table 2b: Estimates of phenotypic correlation coefficient between different characters in rice genotypes under control conditions

References

Related documents

Based on optical flow for movement objects detection, optical flow energy image was put forward for movement feature expression and region convolutional neural networks was adopt

Compared to other feature selection algorithms like LASSO (Tibshirani, 1996) and MMPC (Tsamardinos et al., 2003a), FBED K has competitive predictive performance, while selecting

The direct and indirect effects of twelve characters on grain yield per plant estimated by path coefficient analysis using phenotypic as well as genotypic

The results showed that drought stress had significant effect on harvest index, biological yield, number of spikes/m 2 , number of grains per of spike, 1000-grain weight, grain

This is why with mkryptor business+ and enterprise editions, known facts can be automatically stored to a database the first time a message is sent.. To tell mkryptor to use

► Secondary prevention guidelines for myocardial infarction patient care are gender neutral, but recent studies from European countries show that women were less likely to

In doing so it clearly and convincingly articulates the impact that consumerism has had on students, academics, knowledge, and the destiny of the university,