Predicting Seed Yield of Birdsfoot Trefoil Clones
Predicting Seed Yield of Birdsfoot Trefoil Clones
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In our eReader you can find the full English version of the book. Read Predicting Seed Yield of Birdsfoot Trefoil Clones Online - link to read the book on full screen. Our eReader also allows you to upload and read Pdf, Txt, ePub and fb2 books. In the Mini eReder on the page below you can quickly view all pages of the book - Read Book Predicting Seed Yield of Birdsfoot Trefoil Clones
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06 -. 13 . 19 '. 32 -. 23 -. 03 . 58** . 53 !e4** . 54 -. 18 . 15 -. 01 . 21 . 21 . 14 . 12 . 47* . 41 . 36 . 16 -. 16 . 38 -. 37 . 47* . 36 . 21 . 16 -. 18 . 65** . 72** . 04 . 77** . 29 -. 28 Height . 59** . 31 . 70** . 49* Seed wt. /lOO seeds .. . .. . 16 Pod length . .. -. 13 Maturity . . . -. 49* Plant width * P <. 05. ** P <. 01. SEED YIELD Of BIRDSFOOT TREfOU yields in North Dakota. Only five Illinois characters were needed to predict North Dakota seed yields, while eight and fourteen characters were required in Minne- sota and Missouri, respectively (Table 18). Minnesota data were best for predicting second-year seed yields in Minnesota (Table 19). Total seed-yield measurements in North Dakota and Missouri best pre- dicted second-year seed yields in Minnesota from data of those states, while seeds per umbel measured in Illinois was the best single character for that state. Again, too many characters were needed from Missouri to accurately predict second-year seed yields in Minne- sota (Table 19).
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To quickly assess the difficulty of the text, read a short excerpt:
06 -. 13 . 19 '. 32 -. 23 -. 03 . 58** . 53 !e4** . 54 -. 18 . 15 -. 01 . 21 . 21 . 14 . 12 . 47* . 41 . 36 . 16 -. 16 . 38 -. 37 . 47* . 36 . 21 . 16 -. 18 . 65** . 72** . 04 . 77** . 29 -. 28 Height . 59** . 31 . 70** . 49* Seed wt. /lOO seeds .. . .. . 16 Pod length . .. -. 13 Maturity . . . -. 49* Plant width * P <. 05. ** P <. 01. SEED YIELD Of BIRDSFOOT TREfOU yields in North Dakota. Only five Illinois characters were needed to predict North Dakota seed yields, while eight and fourteen characters were required in Minne- sota and Missouri, respectively (Table 18). Minnesota data were best for predicting second-year seed yields in Minnesota (Table 19). Total seed-yield measurements in North Dakota and Missouri best pre- dicted second-year seed yields in Minnesota from data of those states, while seeds per umbel measured in Illinois was the best single character for that state. Again, too many characters were needed from Missouri to accurately predict second-year seed yields in Minne- sota (Table 19).
What to read after Predicting Seed Yield of Birdsfoot Trefoil Clones?
You can find similar books in the "Read Also" column, or choose other free books by Darrell a Miller to read online
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