Effects of replacing soybean meal with corn gluten meal on milk production and nitrogen efficiency in Holstein cows

The objective of the current study was to determine the effects of partial replacement of soybean meal with corn gluten meal on lactation performance and nitrogen (N) efficiency in lactating Holstein dairy cows. Nine multiparous lactating cows in mid lactation (109 ± 19 days in milk) received three treatments in a 3 × 3 Latin square design for 21 days. The three treatments consisted of i) Ctrl: low protein diet with 15.2% crude protein (CP); ii) SBM: soybean meal-based diet with 18.4% CP; and iii) CGM: soybean meal partially replaced with corn gluten meal with 18.3% CP. Two pre-planned orthogonal contrasts were used to compare the treatments: i) Prot compared Ctrl and average of SBM and CGM to see the effect of increasing protein supplies; and ii) Rep compared SBM and CGM treatments. Increasing CP supplies did not affect dry matter intake, whereas it significantly increased milk protein and lactose yield by 3.6% and 3.3%, respectively. Increasing CP supplies decreased milk nitrogen efficiency (MNE) by 10.9%. The milk yield, milk component yield, milk composition and feed efficiency were similar in the SBM and CGM treatments. Similarly, no difference was observed on dry matter, N and net energy for lactation (NEL) intakes between SBM and CGM treatments. However, MNE significantly decreased by 4.8% in the CGM treatment compared with SBM. The results indicated that soybean meal could be partially replaced with corn gluten meal without negatively affecting productive performance.Keywords: Dairy cows, feed efficiency, nitrogen utilization, production performance, protein source

Effect of bypass fat on growth and body condition score of male Beetal goats during summer

The objective of the present study was to investigate the effect of feeding rumen bypass fat on the growth of male Beetal goats. Twenty-seven male kids with an average bodyweight of 34 ± 1.8 kg (mean ± SD) and aged 12 to 15 months were randomly divided into three treatment groups under a completely randomized design. The treatments consisted of : i) CON, basal diet without added fat (basal diet of chopped sorghum with 0.75 kg concentrate per animal); ii) MF, basal diet with added fat at 2.5% of dry matter in concentrate (Energizer-RP10, Scothorn Nutrition, Malaysia); and iii) HF, basal diet with added fat at 5% of dry matter in concentrate. Dry matter intake (DMI) and faecal score were recorded daily. Live bodyweight was recorded fortnightly. Linear body measurements, which included wither height (WH), heart girth (HG), body length (BL), and body condition scores (BCS), were recorded monthly. The results indicated that the addition of bypass fat in concentrate did not affect DMI linearly. However, a quadratic trend of DMI was observed in response to fat addition (P <0.1). The average daily gain was similar for CON, MF, and HF treatment groups (P >0.05). Moreover, the addition of bypass fat did not affect the BCS, WH, HG, and BL. The HF group had a higher faecal score than the CON and MF groups (P <0.05). The current findings conclude that the addition of bypass fat in diets did not improve the growth performance of yearling Beetal male goats.Keywords: average daily gain, body measurements, supplemental fat

Characterization of genetic diversity in Turkish common bean gene pool using phenotypic and whole-genome DArTseq-generated silicoDArT marker information

PubMedID: 30308006Turkey presents a great diversity of common bean landraces in farmers' fields. We collected 183 common bean accessions from 19 different Turkish geographic regions and 5 scarlet runner bean accessions to investigate their genetic diversity and population structure using phenotypic information (growth habit, and seed weight, flower color, bracteole shape and size, pod shape and leaf shape and color), geographic provenance and 12,557 silicoDArT markers. A total of 24.14% markers were found novel. For the entire population (188 accessions), the expected heterozygosity was 0.078 and overall gene diversity, Fst and Fis were 0.14, 0.55 and 1, respectively. Using marker information, model-based structure, principal coordinate analysis (PCoA) and unweighted pair-group method with arithmetic means (UPGMA) algorithms clustered the 188 accessions into two main populations A (predominant) and B, and 5 unclassified genotypes, representing 3 meaningful heterotic groups for breeding purposes. Phenotypic information clearly distinguished these populations; population A and B, respectively, were bigger (>40g/100 seeds) and smaller (<40g/100 seeds) seed-sized. The unclassified population was pure and only contained climbing genotypes with 100 seed weight 2-3 times greater than populations A and B. Clustering was mainly based on A: Seed weight, B: Growth habit, C: Geographical provinces and D: Flower color. Mean kinship was generally low, but population B was more diverse than population A. Overall, a useful level of gene and genotypic diversity was observed in this work and can be used by the scientific community in breeding efforts to develop superior common bean strains. © 2018 Nadeem et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited

DNA molecular markers in plant breeding: current status and recent advancements in genomic selection and genome editing

With the development of molecular marker technology in the 1980s, the fate of plant breeding has changed. Different types of molecular markers have been developed and advancement in sequencing technologies has geared crop improvement. To explore the knowledge about molecular markers, several reviews have been published in the last three decades; however, all these reviews were meant for researchers with advanced knowledge of molecular genetics. This review is intended to be a synopsis of recent developments in molecular markers and their applications in plant breeding and is devoted to early researchers with a little or no knowledge of molecular markers. The progress made in molecular plant breeding, genetics, genomic selection and genome editing has contributed to a more comprehensive understanding of molecular markers and provided deeper insights into the diversity available for crops and greatly complemented breeding stratagems. Genotyping-by-sequencing and association mapping based on next-generation sequencing technologies have facilitated the identification of novel genetic markers for complex and unstructured populations. Altogether, the history, the types of markers, their application in plant sciences and breeding, and some recent advancements in genomic selection and genome editing are discussed. © 2017 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group.215O630, 2015.10.07.872Authors are very grateful to TUBİTAK (The Scientific and Technological Research Council of Turkey) for providing the doctoral fellowship to Muhammad Azhar Nadeem through project (Project Number: 215O630) and Abant izzet baysal university, Scientific Research Unit (Project number: 2015.10.07.872)

A whole genome DArTseq and SNP analysis for genetic diversity assessment in durum wheat from central fertile crescent

PubMedID: 28099442Until now, little attention has been paid to the geographic distribution and evaluation of genetic diversity of durum wheat from the Central Fertile Crescent (modern-day Turkey and Syria). Turkey and Syria are considered as primary centers of wheat diversity, and thousands of locally adapted wheat landraces are still present in the farmers' small fields. We planned this study to evaluate the genetic diversity of durum wheat landraces from the Central Fertile Crescent by genotyping based on DArTseq and SNP analysis. A total of 39,568 DArTseq and 20,661 SNP markers were used to characterize the genetic characteristic of 91 durum wheat land races. Clustering based on Neighbor joining analysis, principal coordinate as well as Bayesian model implemented in structure, clearly showed that the grouping pattern is not associated with the geographical distribution of the durum wheat due to the mixing of the Turkish and Syrian landraces. Significant correlation between DArTseq and SNP markers was observed in the Mantel test. However, we detected a non-significant relationship between geographical coordinates and DArTseq (r = -0.085) and SNP (r = -0.039) loci. These results showed that unconscious farmer selection and lack of the commercial varieties might have resulted in the exchange of genetic material and this was apparent in the genetic structure of durum wheat in Turkey and Syria. The genomic characterization presented here is an essential step towards a future exploitation of the available durum wheat genetic resources in genomic and breeding programs. The results of this study have also depicted a clear insight about the genetic diversity of wheat accessions from the Central Fertile Crescent. © 2017 Baloch et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited