buy dimension herbicide 0-0-7 Dimension Pre-Emergent Herbicide
SKU: 69658932185
buy dimension herbicide

buy dimension herbicide 0-0-7 Dimension Pre-Emergent Herbicide

Sale price$20.23 Regular price$22.48
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Description

buy dimension herbicide 0-0-7 Dimension Pre-Emergent Herbicide0 0 7 Dimension (Dithiopyr) Pre Emergent Season Long Weed Prevention 0 0 7 Dimension (Dithiopyr) Pre Emergent is a granular weed prevention product designed to stop grassy and broadleaf weeds before they germinate. It provides long lasting residual control and is commonly used as a fall pre emergent or as an alternative when annual prodiamine limits have been reached. Covers up to 6,000 sq ft (18 lb) or 15,000 sq ft (45 lb) Active Ingredient: 0. 19%

0-0-7 Dimension (Dithiopyr) Pre-Emergent – Season-Long Weed Prevention

0-0-7 Dimension (Dithiopyr) Pre-Emergent is a granular weed prevention product designed to stop grassy and broadleaf weeds before they germinate. It provides long-lasting residual control and is commonly used as a fall pre-emergent or as an alternative when annual prodiamine limits have been reached.

  • Covers up to 6,000 sq ft (18 lb) or 15,000 sq ft (45 lb)
  • Active Ingredient: 0.19% Dithiopyr
  • Provides approximately 3–4 months of residual weed control
  • Prevents crabgrass, poa annua, chickweed, henbit, oxalis, bittercress, and more
  • Safe for cool-season and warm-season lawns when applied according to label
  • Product Label & Specs (PDF)

Dimension works by forming a protective barrier in the soil that prevents weed seeds from germinating. While it can be applied in both spring and fall, it is most often used in fall lawn care programs to extend weed control through winter and early spring.

Important: Do not apply Dimension if you are seeding or overseeding. This product will prevent grass seed germination.

Size Options and Coverage

  • 18 lb bag covers up to 6,000 sq ft
  • 45 lb bag covers up to 15,000 sq ft

Application Information

  • When to Apply: Best in spring or fall when soil temperatures are between 55°F and 70°F
  • How to Apply: Use a broadcast or rotary spreader on a dry lawn
  • Application Rate: 3–4 lbs per 1,000 sq ft
  • Water-In: Water in with at least 1/2" of irrigation or rainfall within 48 hours
  • Frequency: For crabgrass, apply twice in spring for best results
  • Important: Do NOT use if seeding or reseeding
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SKU: 69658932185

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Zay
Grantham, US
★★★★★ 5
Upside down (Great)
Format: Hardcover
Was extremely relatable and a blessing I gifted this book and want it back lol but I will be ordering again
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Reviewed in the United States on October 23, 2024
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Rory Derrick
Belleville, US
★★★★★ 5
Good book
Format: Paperback
Still working through it but I have no complaints. I have a shelf of no starch books and have not been disappointed by any. Some, of course, are better than others but this is a good book.
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Reviewed in the United States on December 2, 2021
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Cory P.
Natrona Heights, US
★★★★★ 5
Dive into Algorithms is more like eating a Parfait than trying understand algorithms!
Format: Paperback
Seriously though great writing and explanation along with great history lessons. Also highly recommend for anyone working in the data science field.
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Reviewed in the United States on August 3, 2021
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Frank Gonzalez
San Leandro, US
★★★★★ 3
Ok content, not great explanations (2.5 our of 5 stars)
Format: Paperback
I found the contents of this book to be simply ok: either too simple, or the more complicated algorithms and concepts would not be as carefully explained as they should have been. It is not a terrible book, but it feels as though the author did not go over many drafts/iterations of this work.
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Reviewed in the United States on April 7, 2024
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Ira Laefsky
Cuba, US
★★★★★ 5
An Excellent Self-Discovery Approach to Learning Algorithms
Format: Paperback
I have an Ivy League Master's Degree in Computer Science although it was accomplished 35 years ago. Of course, I had to complete an ACM-type course in Algorithms and Data Structures on the undergraduate and graduate level and managed to by rote accomplish enough to satisfy these courses. But until seeing this great book I never had the feeling of gaining an understanding of the approach to learning and building algorithms and the extent to which it is an important component of all programs. By a journey of guided self-discovery the author shows, not only the necessity of algorithms and their canonical forms, but a path to understanding the construction of algorithms to accomplish common and not so common practical problems. These range from the simple to understand, e.g. implementing Russian Peasant Multiplication, to advanced and up to date topics like Machine Learning. The highest praise I can give this book is that as a journey of guided self-discovery it produces an understanding in the reader of the process of constructing and understanding these algorithms and their place in all programming.
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Reviewed in the United States on February 7, 2021

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