Juglans
The Juglans species, commonly known as walnuts, are native to temperate regions of the Northern Hemisphere.
These trees are valued for their edible nuts as well as their timber.
Juglans research is important for fields such as agriculture, forestry, and medicine, as these trees have numerous commercial and ecological applications.
PubCompare.ai's AI-driven platform can help streamline Juglans research by facilitating easy access to relevant protocols from literature, preprints, and patents, and providing AI-driven comparisons to identify the best methods for enhanced reproducibility and accuracy.
Most cited protocols related to «Juglans»
All sequencing was done using ABI 3700 automated sequencers (Applied Biosystems, Foster City, California, United States). All fragments were sequenced in both directions.
Chromatograms were initially base-called with Phred (v. 0.020425.c) and trimmed based on quality value. The start and end of each read was trimmed until the average quality value was 25 in a window of ten bases, and internal bases were converted to missing data when their quality value was below ten. Accessions missing one read of data were trimmed more severely (different setting were used). A combination of Phrap (v. 0.020425.c) and ClustalW (v. 1.82) was used for producing alignments using a modified weight matrix that allowed us to incorporate quality values into the ClustalW algorithm. Alignments were then visually inspected and adjusted as necessary using Consed (v. 13.0). Polyphred (v. 4.20) was used to flag potential heterozygotes, which were confirmed by visual inspection of chromatograms.
Additional trimming was performed as necessary for accessions with multiple false polymorphisms and low-quality sequence after a visual inspection of chromatograms. Whenever two reads from the same accession disagreed, the final call was made by visually inspecting chromatograms unless the difference in quality value made the final call obvious.
Potential polymorphisms in each alignment were then verified by a second person. All alleles found only once or twice in the sample were verified by visually inspecting the chromatograms. When this inspection did not reveal a chromatogram peak clearly different from the other accessions, the base was changed to missing data. This would, if anything, produce a slight underestimate in alleles of frequency one and two. Higher-frequency polymorphisms with generally low-quality values (20 or lower) were also verified by checking the chromatograms.
A total of 876 high-quality fragment alignments were obtained from 979 PCR primers and used for the analyses in this paper. Of the remaining PCR primers, some failed at the stage of PCR amplification and sequencing, while some produced sequencing output that could not be base-called with certainty when the sequence quality was particularly low or when there was evidence that the primer pairs amplified two or more different products in some of the accessions.
To calculate genetic distances, we used a set of markers that have been genetically mapped to the Lister and Dean recombinant inbred lines and that also can be mapped to the AGI reference genome. Some markers were removed so that both physical position and genetic position were monotonically increasing functions.
All data are publicly available through our Web site (
We genotyped 527 MLs and the 19 founders using the Illumina GoldenGate assay. SNPs with mean Illumina GenTrain quality score below 0.4 were removed and the few lines for which the overall genotype had GC quality score<0.4 were also removed. This left 1418 SNPs with an average missing data rate of 0.55%. We removed a further 115 SNPs that were found to be non-polymorphic among the founders and 43 SNPs with heterozyogosity exceeding 5%, leaving 1260 SNPs for analysis with mean spacing of 96 kb apart. For the QTL mapping all heterozygous genotypes were set to missing, resulting in a final missing data rate of 2.9%. We genotyped the founders in triplicate, and 53 MLs in duplicate; all 84074 repeated genotypes with QC scores>0.4 were concordant (the threshold of 0.4 was chosen to minimize discordant genotypes whilst maximizing the call rate). The complete list of SNPs is in
Most recents protocols related to «Juglans»
Example 12
The composite plant-MCT flour of any of Examples 1-11 is modified by including one or more supplemental oils in addition to and/or that replace a portion of the MCT oil, including one or more of avocado oil, Brazil nut oil, canola oil, corn oil, cottonseed oil, flaxseed oil, grape see oil, hemp seed oil, olive oil, palm oil, peanut oil, rice bran oil, safflower oil (e.g., high oleic), sesame oil, soybean oil, walnut oil, hazelnut oil, sunflower oil, or butterfat.
Example 10
Reduced gluten and reduced carbohydrate composite plant-MCT flour is made by replacing 5-50% of the gluten flour in Examples 1-7 with one or more gluten-free and low carbohydrate flours selected from coconut flour, almond flour, peanut flour, sesame flour, sunflower seed flower, hazelnut flour, walnut flour, soy flour, chickpea flour, flaxseed (linseed) flour, fava bean flour, pumpkin seed flour, lupine flour, red lentil flour, or white bran flour.
Example 11
Gluten-free and low carbohydrate composite plant-MCT flour is made by replacing the flour in Examples 1-10 with one or more gluten-free and low carbohydrate flours selected from coconut flour, almond flour, peanut flour, sesame flour, sunflower seed flower, hazelnut flour, walnut flour, soy flour, chickpea flour, flaxseed (linseed) flour, fava bean flour, pumpkin seed flour, lupine flour, red lentil flour, or white bran flour.
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More about "Juglans"
These trees, commonly known as Juglans, are native to temperate regions of the Northern Hemisphere and are prized for their edible nuts as well as their high-quality timber.
Juglans research is crucial for fields such as agriculture, forestry, and medicine, as these versatile trees offer a wide range of benefits.
PubCompare.ai's AI-driven platform can streamline Juglans-related research by providing easy access to relevant protocols from literature, preprints, and patents, while also offering AI-driven comparisons to help identify the best methods for enhanced reproducibility and accuracy.
Juglans species are often characterized by their distinct compound leaves, edible nuts, and strong, durable wood.
The genus includes well-known species such as the English walnut (Juglans regia), the black walnut (Juglans nigra), and the Californian walnut (Juglans hindsii), among others.
These trees have a long history of use, with evidence of their cultivation and utilization dating back thousands of years.
In addition to their culinary and timber applications, Juglans trees have also been the subject of extensive research in the fields of medicine and ecology.
Compounds derived from Juglans species have been investigated for their potential therapeutic properties, and the trees' ecological role in supporting diverse habitats and wildlife has been well-documented.
Researchers studying Juglans can leverage PubCompare.ai's powerful AI-driven platform to streamline their workflows.
The platform can help locate relevant protocols from a wide range of sources, including scientific literature, preprints, and patents, while also providing AI-driven comparisons to identify the most effective and reliable methods.
This can lead to enhanced reproducibility and accuracy in Juglans-related research, ultimately advancing our understanding and utilization of these versatile trees.
Whether you're interested in the agricultural, forestry, or medicinal aspects of Juglans, PubCompare.ai's AI-driven platform can be a valuable tool in your research arsenal.
Explore the platform today and discover how it can help you optimize your Juglans-related studies.