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Ibni Amin Khalil* and Raziuddin

...ted for seed yield using biplot approach in fifteen parental genotypes following 11× 4: line × tester fashion. The resultant 44 F1 hybrids along with parental genotypes were evaluated under field condition in a replicated trial for seed yield plant-1 performance. Differences among the parental lines, testers, F1 hybrids and line × tester interaction for found significant (P<0.01) for the studied parameter. Promising genotypes for seed yiel...

Sajid Muhammad* and Fida Mohammad 

... 2011/12 and 2012/13.GGE biplot analysis explained 79.89% (PC1=56.57 and PC2= 23.32%) of the total variation. Genotype G19 positioning on vertex in sectorE-3, E-4 and E-5, while G30 in sector E-1 and E-2 revealed their specific suitability to these environments. GGE biplotrecognizedE-4 as ideal environment, whereas G49 as ideal genotype.Thus, GGEbiplotanalysis identified G49 (Wafaq×G...

Muhammad Zubair1, Sagheer Ahmad2*, Awais Rasool1, Muhammad Asad Farooq1 and Ibni Amin Khalil3
 

...her locations. Hence GGE-biplot analysis tool can be applied facilitate evaluation of superior sugarcane varieties for different agro-ecologies. 

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Sana Munir1, Muhammad Kamran Qureshi1*, Ahmad Naeem Shahzad2, Ismat Nawaz3, Muhammad Shahzad Anjam4, Sumaira Rasul4 and Muhammad Asif Zulfiqar5 

...and seed cotton/seed. In biplot analysis, intraspecific hybrids and their parents were present very close to each other while interspecific hybrids, their parent and exotic line were unsimilar and far apart from intraspecific hybrids. Results of linkage cluster analysis (LCA) revealed that among four clusters, performance of genotypes in cluster 3 was superior. PCA and LCA showed that interspecific hybrids showed highest diversity from intraspecific hybrids an...

Malak Atiq Ullah Khan1*, Fida Mohammad2, Fahim Ullah Khan3, Sheraz Ahmad2, Mian Ahmad Raza1 and Tariq Kamal

... Interaction (AMMI), GGE biplot analysis and stability parameters. Eighty-one wheat genotypes were evaluated during three consecutive years (2013/14, 2014/15 and 2015/16) across nine environments (sites × year combination) in Khyber Pakhtunkhwa, Pakistan. Graphical stability approaches such as AMMI and GGE provided almost similar results for identifying the high-yielding and stable wheat genotypes. The AMMI analysis identified G-58 and G-79, whereas GGE ...

Saba Aleem1*, Mehvish Tahir2, Iram Sharif3, Muqadas Aleem4, Muhammad Najeebullah2, Ali Nawaz1, Amina Batool1, Muhammad Imran Khan1 and Waheed Arshad1

Principal Component and Cluster Analyses as Tools in the Assessment of Genetic Diversity for Late Season Cauliflower Genotypes
Ghulam Sarwar1, Amna Nazir1*, Muhammad Rizwan1, Eram Shahzadi2 and Abid Mahmood3
...uV % and fiber length. A biplot between PC-I and PC-II showed that major contribution towards variability of fiber fineness and earliness traits among the studied genotypes. In cluster analysis, 25 genotypes were allocated in four clusters. Cluster-I was the largest by having 10 genotypes while clusters-III and IV each having six genotypes, and cluster-II was the smallest having three genotypes.
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Uzma Ayaz1,* and Muhammad Fareed Khan2
 

... on average distances on biplot 0942, 0951, 0924, 0821, NKS-278, Hysun-33, 0932 reported maximum diversity. The hybrids i.e. 0942, 0951, SH-K-6, SH-K-4, 0917, 0916, Sun-star-333, Hysun-33, 0927 and 1023 exhibited maximum seedling emergence, chlorophyll content, leaves per plant, grain yield and oil content hence recommended to be included in future breeding programs of sunflower.
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Muhammad Tariq Mahmood1*, Muhmmad Akhtar2, Kaiser Latif Cheema2, Mushtaq Ahmad1, Muhammad Jahanzaib Khalid2, Afzal Zahid2, Muhammad Kashif3 and Zeshan Ali4

...ping season 2019-20. GGE biplot and mega environment analysis were employed to identify the most stable and high yielding chickpea advance strains. GGE biplot among PC1 and PC2 illustrated that G-10 (K-15019) was ideal genotype performing best across the environments. Higher yield potential coupled with more yield stability across all test environments was recorded in G-10 (K-15019) followed by G-2 (CH47/12), G-12 (K-15001),...

Saleem Ur Rahman1, Muhammad Irfan Yousaf1*, Mozammil Hussain2, Khadim Hussain1, Shahid Hussain1, Muhammad Husnain Bhatti1, Dilbar Hussain1, Aamir Ghani1, Abdul Razaq1, Muhammad Akram1, Iqra Ibrar1, Muhammad Shakeel Ahmad1, Shoaib Anwar Kohli3, Muhammad Abubakar Siddiq4

Zulqarnain Haider1*, Muhammad Akhter2, Syed Sultan Ali1, Tahir Latif1, Rana Ahsan Raza Khan1, Awais Riaz1, Tahira Bibi1, Muhammad Ijaz3, Qasim Raza1, Mohsin Ali Raza4, Samina Sarfaraz1, Muhammad Iqbal1 and Muhammad Rafiq1

...principal component, GGE biplots in order to demonstrate the stability and performance of these advance Basmati lines. A highly significant and exploitable level of genetic variability was found existed among tested inbred lines. Higher broad sense heritability (%) was observed among tested genotypes which specifies higher proportion of phenotypic variation attributed by genetic values. Correlation matrix portrayed significantly positive relationship of grain ...

Salma Sharif1, Rana Arsalan Javaid2*, Abid Majeed2, Muhammad Shahzad Ahmed2, Qurat ul Ain Sani2, Faiza Siddique2, Muhammad Arshad3 and Niaz Ali

...otal variability so, the biplot was created using the first two components. The results of Principal Component Analysis (PCA) matched those of the cluster analysis quite closely. Breeders may now use these findings to create high-yielding rice varieties as well as novel breeding techniques for rice development.

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Shiguftah Khalid1, Muhammad Jahanzaib2*, Haris Khurshid2, Rabia Khalid3, Sundas Waqar3, Faiza Siddique3, Fazal Yazdan Saleem Marwat3 and Zahid Akram1

Saleem Abid1* and Muhammad Jahanzaib2

...nt of variation. The GGE biplot analysis also confirmed that 11AK011 groundnut genotype and can be considered as adaptable to the environments of the experimental sites.

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Pakistan Journal of Agricultural Research

September

Vol.37, Iss. 3, Pages 190-319

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